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Journal Articles

Estimating Recoverable Performance Degradation Rates and Optimizing Maintenance Scheduling

Cody W. Allen, Chad M. Holcomb, Maurício de Oliveira

J. Eng. Gas Turbines Power. January 2019, 141(1): 011032.

Paper No: GTP-18-1322

DOI: https://doi.org/10.1115/1.4041004

Published Online: November 14, 2018

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Topics: Maintenance, Optimization

Proceedings Papers

Estimating Recoverable Performance Degradation Rates and Optimizing Maintenance Scheduling

Cody W. Allen, Chad M. Holcomb, Mauricio de Oliveira

Proc. ASME. GT2018, Volume 6: Ceramics; Controls, Diagnostics, and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A004, June 11–15, 2018

Paper No: GT2018-75267

DOI: https://doi.org/10.1115/GT2018-75267

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Topics: Maintenance, Algorithms, Compressors, Gas turbines, Optimization, Blades, Cooling, Heat exchangers, Simulation, Statistical distributions

Proceedings Papers

Gas Turbine Machinery Diagnostics: A Brief Review and a Sample Application

Cody W. Allen, Chad M. Holcomb, Mauricio de Oliveira

Proc. ASME. GT2017, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A028, June 26–30, 2017

Paper No: GT2017-64755

DOI: https://doi.org/10.1115/GT2017-64755

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Topics: Gas turbines, Machinery, Algorithms, Machine learning, Engines, Turbines, Artificial neural networks, Computational methods, Engineering standards, Fuels

Proceedings Papers

Improving Disturbance Compensation in Gas Turbines by Incorporating Event-Triggered Logic Signals From Switchgear

Robert H. Moroto, Robert R. Bitmead, Chad M. Holcomb

Proc. ASME. GT2017, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A029, June 26–30, 2017

Paper No: GT2017-64761

DOI: https://doi.org/10.1115/GT2017-64761

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Topics: Gas turbines, Signals, Feedback, Transients (Dynamics), Control equipment, Steady state, Stress, Circuit breakers, Delays, Energy generation

Proceedings Papers

Multi-Stage System Identification of a Gas Turbine

Amit Pandey, Maurício de Oliveira, Chad M. Holcomb

Proc. ASME. GT2017, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A030, June 26–30, 2017

Paper No: GT2017-64777

DOI: https://doi.org/10.1115/GT2017-64777

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Topics: Gas turbines, Design, Open loop systems, Simulation, Control equipment, Simulation results

Proceedings Papers

Fault Detection Using Reduced Rank Linear Engine Models

Cody W. Allen, Chad M. Holcomb, Mauricio de Oliveira

Proc. ASME. GT2016, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A024, June 13–17, 2016

Paper No: GT2016-57916

DOI: https://doi.org/10.1115/GT2016-57916

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Topics: Design, Engines, Errors, Flaw detection, Gas turbines, Physics, Sensors

Proceedings Papers

Gas Turbine Analytics Using Archival Data Sets

Chad M. Holcomb, Robert R. Bitmead

Proc. ASME. GT2015, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy; Honors and Awards, V006T05A023, June 15–19, 2015

Paper No: GT2015-43636

DOI: https://doi.org/10.1115/GT2015-43636

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Topics: Gas turbines, Machinery, Steady state, Testing, Transients (Dynamics)

Proceedings Papers

Closed Loop Nonlinear System Identification Applied to Gas Turbine Analytics

Chad M. Holcomb, Raymond A. de Callafon, Robert E. Bitmead

Proc. ASME. GT2014, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T06A013, June 16–20, 2014

Paper No: GT2014-26059

DOI: https://doi.org/10.1115/GT2014-26059

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Topics: Gas turbines, Nonlinear systems, Condition monitoring, Engines, Reliability, Control equipment, Dynamic response, Equipment performance, Failure, Feedback

Journal citation

NARROW

Estimating Recoverable Performance Degradation Rates and Optimizing Maintenance Scheduling

Estimating Recoverable Performance Degradation Rates and Optimizing Maintenance Scheduling

Gas Turbine Machinery Diagnostics: A Brief Review and a Sample Application

Improving Disturbance Compensation in Gas Turbines by Incorporating Event-Triggered Logic Signals From Switchgear

Multi-Stage System Identification of a Gas Turbine

Fault Detection Using Reduced Rank Linear Engine Models

Gas Turbine Analytics Using Archival Data Sets

Closed Loop Nonlinear System Identification Applied to Gas Turbine Analytics

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