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You searched for +publisher:"University of Texas – Austin" +contributor:("Chen, Dongmei, Ph. D."). Showing records 1 – 21 of 21 total matches.

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University of Texas – Austin

1. Headley, Alexander John. Dynamic subdivided relative humidity model of a polymer electrolyte membrane fuel cell.

Degree: MSin Engineering, Mechanical Engineering, 2013, University of Texas – Austin

 The development of a control-oriented dynamic relative humidity model for a polymer electrolyte membrane (PEM) fuel cell stack is presented. This model is integrated with… (more)

Subjects/Keywords: PEM; Fuel cell; Control-oriented; Thermodynamic; Relative humidity; Model

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APA (6th Edition):

Headley, A. J. (2013). Dynamic subdivided relative humidity model of a polymer electrolyte membrane fuel cell. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/22264

Chicago Manual of Style (16th Edition):

Headley, Alexander John. “Dynamic subdivided relative humidity model of a polymer electrolyte membrane fuel cell.” 2013. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/22264.

MLA Handbook (7th Edition):

Headley, Alexander John. “Dynamic subdivided relative humidity model of a polymer electrolyte membrane fuel cell.” 2013. Web. 28 Feb 2021.

Vancouver:

Headley AJ. Dynamic subdivided relative humidity model of a polymer electrolyte membrane fuel cell. [Internet] [Masters thesis]. University of Texas – Austin; 2013. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/22264.

Council of Science Editors:

Headley AJ. Dynamic subdivided relative humidity model of a polymer electrolyte membrane fuel cell. [Masters Thesis]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/22264


University of Texas – Austin

2. Ofoegbu, Chukwunyere. Optimal sizing of gas-to-gas membrane humidifiers for proton exchange membrane fuel cell automotive systems.

Degree: MSin Engineering, Mechanical Engineering, 2019, University of Texas – Austin

 External humidification using membrane humidifiers is an attractive technology used in controlling the humidity of proton-exchange membrane fuel cell (PEMFC) systems. Membrane humidifiers operate under… (more)

Subjects/Keywords: PEMFC; Membrane humidifier; Optimization; PEM fuel cell

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APA (6th Edition):

Ofoegbu, C. (2019). Optimal sizing of gas-to-gas membrane humidifiers for proton exchange membrane fuel cell automotive systems. (Masters Thesis). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/1457

Chicago Manual of Style (16th Edition):

Ofoegbu, Chukwunyere. “Optimal sizing of gas-to-gas membrane humidifiers for proton exchange membrane fuel cell automotive systems.” 2019. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://dx.doi.org/10.26153/tsw/1457.

MLA Handbook (7th Edition):

Ofoegbu, Chukwunyere. “Optimal sizing of gas-to-gas membrane humidifiers for proton exchange membrane fuel cell automotive systems.” 2019. Web. 28 Feb 2021.

Vancouver:

Ofoegbu C. Optimal sizing of gas-to-gas membrane humidifiers for proton exchange membrane fuel cell automotive systems. [Internet] [Masters thesis]. University of Texas – Austin; 2019. [cited 2021 Feb 28]. Available from: http://dx.doi.org/10.26153/tsw/1457.

Council of Science Editors:

Ofoegbu C. Optimal sizing of gas-to-gas membrane humidifiers for proton exchange membrane fuel cell automotive systems. [Masters Thesis]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/1457

3. Hall, Russell Ilus. Design and analysis of a new sensing technique for casing joint validation through integrating turns measurement into a torque sensor.

Degree: MSin Engineering, Mechanical Engineering, 2012, University of Texas – Austin

 Fossil fuels and their byproducts are a vital part of our economy, and society. Until renewable energy sources and energy storage technologies advance to the… (more)

Subjects/Keywords: Turns measurement; Casing running; MEMS; IMU; Design of experiments

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APA (6th Edition):

Hall, R. I. (2012). Design and analysis of a new sensing technique for casing joint validation through integrating turns measurement into a torque sensor. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/23875

Chicago Manual of Style (16th Edition):

Hall, Russell Ilus. “Design and analysis of a new sensing technique for casing joint validation through integrating turns measurement into a torque sensor.” 2012. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/23875.

MLA Handbook (7th Edition):

Hall, Russell Ilus. “Design and analysis of a new sensing technique for casing joint validation through integrating turns measurement into a torque sensor.” 2012. Web. 28 Feb 2021.

Vancouver:

Hall RI. Design and analysis of a new sensing technique for casing joint validation through integrating turns measurement into a torque sensor. [Internet] [Masters thesis]. University of Texas – Austin; 2012. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/23875.

Council of Science Editors:

Hall RI. Design and analysis of a new sensing technique for casing joint validation through integrating turns measurement into a torque sensor. [Masters Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/23875

4. Chen, Kevin, M.S. in Engineering. Gear ratio optimization of one- and two-speed transmissions for fully-electric vehicles.

Degree: MSin Engineering, Mechanical Engineering, 2017, University of Texas – Austin

 Currently, electric vehicles use a transmission with a single-speed fixed gear ratio optimized for performance. This work features the development of a framework to optimize… (more)

Subjects/Keywords: Electric vehicles; Transmission; Optimization; Gear ratio

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APA (6th Edition):

Chen, Kevin, M. S. i. E. (2017). Gear ratio optimization of one- and two-speed transmissions for fully-electric vehicles. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/60449

Chicago Manual of Style (16th Edition):

Chen, Kevin, M S in Engineering. “Gear ratio optimization of one- and two-speed transmissions for fully-electric vehicles.” 2017. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/60449.

MLA Handbook (7th Edition):

Chen, Kevin, M S in Engineering. “Gear ratio optimization of one- and two-speed transmissions for fully-electric vehicles.” 2017. Web. 28 Feb 2021.

Vancouver:

Chen, Kevin MSiE. Gear ratio optimization of one- and two-speed transmissions for fully-electric vehicles. [Internet] [Masters thesis]. University of Texas – Austin; 2017. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/60449.

Council of Science Editors:

Chen, Kevin MSiE. Gear ratio optimization of one- and two-speed transmissions for fully-electric vehicles. [Masters Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/60449

5. -6108-5034. Control of high precision roll-to-roll manufacturing systems.

Degree: MSin Engineering, Mechanical Engineering, 2019, University of Texas – Austin

 The flexible electronic industry has been growing rapidly over the past decade. One of the barriers to commercialization is the high cost of manufacturing micro-… (more)

Subjects/Keywords: Roll-to-roll manufacturing; MIMO control; Tension observer

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APA (6th Edition):

-6108-5034. (2019). Control of high precision roll-to-roll manufacturing systems. (Masters Thesis). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/1424

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-6108-5034. “Control of high precision roll-to-roll manufacturing systems.” 2019. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://dx.doi.org/10.26153/tsw/1424.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-6108-5034. “Control of high precision roll-to-roll manufacturing systems.” 2019. Web. 28 Feb 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-6108-5034. Control of high precision roll-to-roll manufacturing systems. [Internet] [Masters thesis]. University of Texas – Austin; 2019. [cited 2021 Feb 28]. Available from: http://dx.doi.org/10.26153/tsw/1424.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-6108-5034. Control of high precision roll-to-roll manufacturing systems. [Masters Thesis]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/1424

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Author name may be incomplete


University of Texas – Austin

6. Refai, Rehan. Hybrid neural net and physics based model of a lithium ion battery.

Degree: MSin Engineering, Mechanical Engineering, 2011, University of Texas – Austin

 Lithium ion batteries have become one of the most popular types of battery in consumer electronics as well as aerospace and automotive applications. The efficient… (more)

Subjects/Keywords: Lithium ion batteries; Neural nets; Thermal modeling; Hybrid neural net; Battery simulation

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APA (6th Edition):

Refai, R. (2011). Hybrid neural net and physics based model of a lithium ion battery. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-05-3612

Chicago Manual of Style (16th Edition):

Refai, Rehan. “Hybrid neural net and physics based model of a lithium ion battery.” 2011. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/ETD-UT-2011-05-3612.

MLA Handbook (7th Edition):

Refai, Rehan. “Hybrid neural net and physics based model of a lithium ion battery.” 2011. Web. 28 Feb 2021.

Vancouver:

Refai R. Hybrid neural net and physics based model of a lithium ion battery. [Internet] [Masters thesis]. University of Texas – Austin; 2011. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-3612.

Council of Science Editors:

Refai R. Hybrid neural net and physics based model of a lithium ion battery. [Masters Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-3612


University of Texas – Austin

7. Varala, Vinod Kumar. Modeling of horizontal drilling.

Degree: MSin Engineering, Mechanical engineering, 2016, University of Texas – Austin

 While majority of today’s oil wells employ directional drilling technology (deviated, extended reach and horizontal wells), a thorough understanding of the drill string dynamics is… (more)

Subjects/Keywords: Oil and gas industry; Directional drilling; Drill string; Stick-slip; Bit-bounce; Lumped mass

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APA (6th Edition):

Varala, V. K. (2016). Modeling of horizontal drilling. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/43683

Chicago Manual of Style (16th Edition):

Varala, Vinod Kumar. “Modeling of horizontal drilling.” 2016. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/43683.

MLA Handbook (7th Edition):

Varala, Vinod Kumar. “Modeling of horizontal drilling.” 2016. Web. 28 Feb 2021.

Vancouver:

Varala VK. Modeling of horizontal drilling. [Internet] [Masters thesis]. University of Texas – Austin; 2016. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/43683.

Council of Science Editors:

Varala VK. Modeling of horizontal drilling. [Masters Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/43683

8. Anyaegbunam, Ifedioranma. The development of a battery management system with special focus on capacity estimation and thermal management.

Degree: MSin Engineering, Mechanical engineering, 2016, University of Texas – Austin

 Lithium ion batteries are instrumental in tackling the challenges of global warming. They have shown great utility in electric and hybrid vehicles. However, challenges with… (more)

Subjects/Keywords: Capacity fade; Optimal control; Thermal management; Li-ion battery

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APA (6th Edition):

Anyaegbunam, I. (2016). The development of a battery management system with special focus on capacity estimation and thermal management. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/41245

Chicago Manual of Style (16th Edition):

Anyaegbunam, Ifedioranma. “The development of a battery management system with special focus on capacity estimation and thermal management.” 2016. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/41245.

MLA Handbook (7th Edition):

Anyaegbunam, Ifedioranma. “The development of a battery management system with special focus on capacity estimation and thermal management.” 2016. Web. 28 Feb 2021.

Vancouver:

Anyaegbunam I. The development of a battery management system with special focus on capacity estimation and thermal management. [Internet] [Masters thesis]. University of Texas – Austin; 2016. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/41245.

Council of Science Editors:

Anyaegbunam I. The development of a battery management system with special focus on capacity estimation and thermal management. [Masters Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/41245

9. Michael, Philip Henry. A multicomponent membrane model for the vanadium redox flow battery.

Degree: MSin Engineering, Mechanical Engineering, 2012, University of Texas – Austin

 With its long cycle life and scalable design, the vanadium redox flow battery (VRB) is a promising technology for grid energy storage. However, high materials… (more)

Subjects/Keywords: Concentrated-solution theory; Redox flow batteries; Vanadium redox flow battery; Cation-exchange membranes; Computational modeling; Electrical energy storage

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APA (6th Edition):

Michael, P. H. (2012). A multicomponent membrane model for the vanadium redox flow battery. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2012-08-6261

Chicago Manual of Style (16th Edition):

Michael, Philip Henry. “A multicomponent membrane model for the vanadium redox flow battery.” 2012. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/ETD-UT-2012-08-6261.

MLA Handbook (7th Edition):

Michael, Philip Henry. “A multicomponent membrane model for the vanadium redox flow battery.” 2012. Web. 28 Feb 2021.

Vancouver:

Michael PH. A multicomponent membrane model for the vanadium redox flow battery. [Internet] [Masters thesis]. University of Texas – Austin; 2012. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/ETD-UT-2012-08-6261.

Council of Science Editors:

Michael PH. A multicomponent membrane model for the vanadium redox flow battery. [Masters Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/ETD-UT-2012-08-6261

10. Hearn, Clay Stephen. Design methodologies for advanced flywheel energy storage.

Degree: PhD, Mechanical Engineering, 2013, University of Texas – Austin

 Higher penetration of volatile renewable sources and increasing load demand are putting a strain on the current utility grid structure. Energy storage solutions are required… (more)

Subjects/Keywords: Flywheel energy storage; Sizing energy storage; Grid storage; High temperature superconducting bearings; Electromechanical bond graph models

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APA (6th Edition):

Hearn, C. S. (2013). Design methodologies for advanced flywheel energy storage. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/23032

Chicago Manual of Style (16th Edition):

Hearn, Clay Stephen. “Design methodologies for advanced flywheel energy storage.” 2013. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/23032.

MLA Handbook (7th Edition):

Hearn, Clay Stephen. “Design methodologies for advanced flywheel energy storage.” 2013. Web. 28 Feb 2021.

Vancouver:

Hearn CS. Design methodologies for advanced flywheel energy storage. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2013. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/23032.

Council of Science Editors:

Hearn CS. Design methodologies for advanced flywheel energy storage. [Doctoral Dissertation]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/23032


University of Texas – Austin

11. -6028-0636. Cost-conscious control strategies for wind turbine systems.

Degree: PhD, Mechanical Engineering, 2017, University of Texas – Austin

 Wind energy is one of the most abundant renewable energy sources that can meet future energy demands. Despite its fast growth, wind energy is still… (more)

Subjects/Keywords: Wind turbine; Wind energy; Adaptive algorithm; Power dispatch; Frequency regulation; Energy maximization; Fatigue mitigation

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APA (6th Edition):

-6028-0636. (2017). Cost-conscious control strategies for wind turbine systems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/47462

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-6028-0636. “Cost-conscious control strategies for wind turbine systems.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/47462.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-6028-0636. “Cost-conscious control strategies for wind turbine systems.” 2017. Web. 28 Feb 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-6028-0636. Cost-conscious control strategies for wind turbine systems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/47462.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-6028-0636. Cost-conscious control strategies for wind turbine systems. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/47462

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

12. -4907-2702. Model-based decentralized optimal control of a microgrid.

Degree: PhD, Mechanical Engineering, 2019, University of Texas – Austin

 Power networks have experienced dramatic changes with the growth of renewable energy and `smart' grids. To accommodate the challenges posed to traditional power system control… (more)

Subjects/Keywords: Renewable energy; Microgrid; Power systems; Optimal; Optimal control; Decentralized control; Dynamic systems

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APA (6th Edition):

-4907-2702. (2019). Model-based decentralized optimal control of a microgrid. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/5755

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-4907-2702. “Model-based decentralized optimal control of a microgrid.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://dx.doi.org/10.26153/tsw/5755.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-4907-2702. “Model-based decentralized optimal control of a microgrid.” 2019. Web. 28 Feb 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-4907-2702. Model-based decentralized optimal control of a microgrid. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2021 Feb 28]. Available from: http://dx.doi.org/10.26153/tsw/5755.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-4907-2702. Model-based decentralized optimal control of a microgrid. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/5755

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Texas – Austin

13. -4221-291X. Optimal control of wind turbines for distributed power generation.

Degree: PhD, Mechanical engineering, 2015, University of Texas – Austin

 Wind energy represents one of the major renewable energy sources that can meet future energy demands to sustain our lifestyle. During the last few decades,… (more)

Subjects/Keywords: Wind energy; Optimal control; Energy maximization; Fatigue load mitigation; Noise emission reduction

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APA (6th Edition):

-4221-291X. (2015). Optimal control of wind turbines for distributed power generation. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31543

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-4221-291X. “Optimal control of wind turbines for distributed power generation.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/31543.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-4221-291X. “Optimal control of wind turbines for distributed power generation.” 2015. Web. 28 Feb 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-4221-291X. Optimal control of wind turbines for distributed power generation. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/31543.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-4221-291X. Optimal control of wind turbines for distributed power generation. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31543

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Texas – Austin

14. Yan, Zeyu, Ph. D. Numerical optimal control of a wind turbine system.

Degree: PhD, Mechanical engineering, 2015, University of Texas – Austin

 With the development of wind turbine technology and the need for maximizing wind energy harvesting, more wind turbines operate in the partial load region. Among… (more)

Subjects/Keywords: Wind turbine; Optimal control

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APA (6th Edition):

Yan, Zeyu, P. D. (2015). Numerical optimal control of a wind turbine system. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31546

Chicago Manual of Style (16th Edition):

Yan, Zeyu, Ph D. “Numerical optimal control of a wind turbine system.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/31546.

MLA Handbook (7th Edition):

Yan, Zeyu, Ph D. “Numerical optimal control of a wind turbine system.” 2015. Web. 28 Feb 2021.

Vancouver:

Yan, Zeyu PD. Numerical optimal control of a wind turbine system. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/31546.

Council of Science Editors:

Yan, Zeyu PD. Numerical optimal control of a wind turbine system. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31546


University of Texas – Austin

15. -3146-1283. Modeling, estimation, and control of proton exchange membrane-based electrochemical systems.

Degree: PhD, Mechanical Engineering, 2015, University of Texas – Austin

 To reduce emissions and meet the rapidly growing global energy demand, affordable and efficient methods of electrical energy storage and generation are needed to exploit… (more)

Subjects/Keywords: Modeling; Estimation; Control; Flow battery; PEM fuel cell

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APA (6th Edition):

-3146-1283. (2015). Modeling, estimation, and control of proton exchange membrane-based electrochemical systems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32873

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Author name may be incomplete

Chicago Manual of Style (16th Edition):

-3146-1283. “Modeling, estimation, and control of proton exchange membrane-based electrochemical systems.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/32873.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-3146-1283. “Modeling, estimation, and control of proton exchange membrane-based electrochemical systems.” 2015. Web. 28 Feb 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-3146-1283. Modeling, estimation, and control of proton exchange membrane-based electrochemical systems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/32873.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-3146-1283. Modeling, estimation, and control of proton exchange membrane-based electrochemical systems. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32873

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Author name may be incomplete

16. Hadisujoto, Budi Sutanto. Control-oriented modeling of dynamic thermal behavior and two‒phase fluid flow in porous media for PEM fuel cells.

Degree: PhD, Mechanical Enginering, 2013, University of Texas – Austin

 The driving force behind research in alternative clean and renewable energy has been the desire to reduce emissions and dependence on fossil fuels. In the… (more)

Subjects/Keywords: Polymer electrolyte membrane; Fuel cell; Thermal model

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APA (6th Edition):

Hadisujoto, B. S. (2013). Control-oriented modeling of dynamic thermal behavior and two‒phase fluid flow in porous media for PEM fuel cells. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/28727

Chicago Manual of Style (16th Edition):

Hadisujoto, Budi Sutanto. “Control-oriented modeling of dynamic thermal behavior and two‒phase fluid flow in porous media for PEM fuel cells.” 2013. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/28727.

MLA Handbook (7th Edition):

Hadisujoto, Budi Sutanto. “Control-oriented modeling of dynamic thermal behavior and two‒phase fluid flow in porous media for PEM fuel cells.” 2013. Web. 28 Feb 2021.

Vancouver:

Hadisujoto BS. Control-oriented modeling of dynamic thermal behavior and two‒phase fluid flow in porous media for PEM fuel cells. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2013. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/28727.

Council of Science Editors:

Hadisujoto BS. Control-oriented modeling of dynamic thermal behavior and two‒phase fluid flow in porous media for PEM fuel cells. [Doctoral Dissertation]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/28727

17. Palejiya, Dushyant. Switching control of wind turbine.

Degree: PhD, Mechanical Engineering, 2015, University of Texas – Austin

 Modern variable speed wind turbines operate within large range of wind speeds. Control of such a turbine is partitioned in two modes: a low wind… (more)

Subjects/Keywords: Wind turbine control; Switching stability; Switched systems

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APA (6th Edition):

Palejiya, D. (2015). Switching control of wind turbine. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/33284

Chicago Manual of Style (16th Edition):

Palejiya, Dushyant. “Switching control of wind turbine.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/33284.

MLA Handbook (7th Edition):

Palejiya, Dushyant. “Switching control of wind turbine.” 2015. Web. 28 Feb 2021.

Vancouver:

Palejiya D. Switching control of wind turbine. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/33284.

Council of Science Editors:

Palejiya D. Switching control of wind turbine. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/33284

18. Headley, Alexander John. Dynamic modeling and analysis of proton exchange membrane fuel cells for control design.

Degree: PhD, Mechanical engineering, 2016, University of Texas – Austin

 This dissertation seeks to address a number of issues facing the advancement of Proton Exchange Membrane (PEM) fuel cell technology by improving control-oriented modeling strategies… (more)

Subjects/Keywords: Fuel cells; Dynamic modeling

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APA (6th Edition):

Headley, A. J. (2016). Dynamic modeling and analysis of proton exchange membrane fuel cells for control design. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/39748

Chicago Manual of Style (16th Edition):

Headley, Alexander John. “Dynamic modeling and analysis of proton exchange membrane fuel cells for control design.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/39748.

MLA Handbook (7th Edition):

Headley, Alexander John. “Dynamic modeling and analysis of proton exchange membrane fuel cells for control design.” 2016. Web. 28 Feb 2021.

Vancouver:

Headley AJ. Dynamic modeling and analysis of proton exchange membrane fuel cells for control design. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/39748.

Council of Science Editors:

Headley AJ. Dynamic modeling and analysis of proton exchange membrane fuel cells for control design. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/39748

19. Hall, John Francis, 1968-. Design and control of a variable ratio gearbox for distributed wind turbine systems.

Degree: PhD, Mechanical Engineering, 2012, University of Texas – Austin

 Wind is one of the most promising resources in the renewable energy portfolio. Still, the cost of electrical power produced by small wind turbines impedes… (more)

Subjects/Keywords: Wind energy conversion; Variable ratio gearbox; Gearbox development; Optimal control; Multiobjective design

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APA (6th Edition):

Hall, John Francis, 1. (2012). Design and control of a variable ratio gearbox for distributed wind turbine systems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2012-08-6105

Chicago Manual of Style (16th Edition):

Hall, John Francis, 1968-. “Design and control of a variable ratio gearbox for distributed wind turbine systems.” 2012. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/ETD-UT-2012-08-6105.

MLA Handbook (7th Edition):

Hall, John Francis, 1968-. “Design and control of a variable ratio gearbox for distributed wind turbine systems.” 2012. Web. 28 Feb 2021.

Vancouver:

Hall, John Francis 1. Design and control of a variable ratio gearbox for distributed wind turbine systems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2012. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/ETD-UT-2012-08-6105.

Council of Science Editors:

Hall, John Francis 1. Design and control of a variable ratio gearbox for distributed wind turbine systems. [Doctoral Dissertation]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/ETD-UT-2012-08-6105

20. -2932-5728. Modeling and control of drillstring dynamics for vibration suppression.

Degree: PhD, Mechanical Engineering, 2019, University of Texas – Austin

 Drill-string vibrations could cause fatigue failure to downhole tools, bring damage to the wellbore, and decrease drilling efficiency; therefore, it is important to understand the… (more)

Subjects/Keywords: Drilling vibration; Finite element method; Drillstring dynamics; Vibration suppression; Drill-string vibrations; Directional drill-string; Wellbore interaction model

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APA (6th Edition):

-2932-5728. (2019). Modeling and control of drillstring dynamics for vibration suppression. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/2872

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-2932-5728. “Modeling and control of drillstring dynamics for vibration suppression.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://dx.doi.org/10.26153/tsw/2872.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-2932-5728. “Modeling and control of drillstring dynamics for vibration suppression.” 2019. Web. 28 Feb 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-2932-5728. Modeling and control of drillstring dynamics for vibration suppression. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2021 Feb 28]. Available from: http://dx.doi.org/10.26153/tsw/2872.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-2932-5728. Modeling and control of drillstring dynamics for vibration suppression. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/2872

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

21. Pehlivantürk, Can. Modeling, guidance, and control for cost conscious directional drilling.

Degree: PhD, Mechanical Engineering, 2019, University of Texas – Austin

 Directional drilling has played an important role in the oil and gas industry. One of the challenges for directional drilling is its cost. In this… (more)

Subjects/Keywords: Directional drilling; Path optimization; Non-linear programming; Convex optimization; Advisory software; Vibration mitigation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pehlivantürk, C. (2019). Modeling, guidance, and control for cost conscious directional drilling. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/1375

Chicago Manual of Style (16th Edition):

Pehlivantürk, Can. “Modeling, guidance, and control for cost conscious directional drilling.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://dx.doi.org/10.26153/tsw/1375.

MLA Handbook (7th Edition):

Pehlivantürk, Can. “Modeling, guidance, and control for cost conscious directional drilling.” 2019. Web. 28 Feb 2021.

Vancouver:

Pehlivantürk C. Modeling, guidance, and control for cost conscious directional drilling. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2021 Feb 28]. Available from: http://dx.doi.org/10.26153/tsw/1375.

Council of Science Editors:

Pehlivantürk C. Modeling, guidance, and control for cost conscious directional drilling. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/1375

.