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Proceedings Papers

Real Time Diagnostic Method of Gas Turbines Operating Under Transient Conditions in Hybrid Power Plants

Elias Tsoutsanis, Moussa Hamadache, Roger Dixon
Proc. ASME. GT2020, Volume 5: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage, V005T05A013, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14748
https://doi.org/10.1115/GT2020-14748
View Paper titled, Real Time Diagnostic Method of Gas Turbines Operating Under Transient Conditions in Hybrid Power Plants
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Topics: Gas turbines, Hybrid power systems, Transients (Dynamics), Engines, Stress, Wind farms, Condition monitoring, Electric power generation, Maintenance, Renewable energy
Journal Articles

Real-Time Diagnostic Method of Gas Turbines Operating Under Transient Conditions in Hybrid Power Plants

Elias Tsoutsanis, Moussa Hamadache, Roger Dixon
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. October 2020, 142(10): 101002.
Paper No: GTP-20-1392
https://doi.org/10.1115/1.4048340
Published Online: September 23, 2020
View Articletitled, Real-Time Diagnostic Method of Gas Turbines Operating Under Transient Conditions in Hybrid Power Plants
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Topics: Engines, Gas turbines, Transients (Dynamics), Flow (Dynamics), Hybrid power systems, Compressors, Turbines
Journal Articles

Performance Comparison Between Fast Fourier Transform-Based Segmentation, Feature Selection, and Fault Identification Algorithm and Neural Network for the Condition Monitoring of Centrifugal Equipment

Samer Gowid, Roger Dixon, Saud Ghani
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. June 2017, 139(6): 061013.
Paper No: DS-16-1007
https://doi.org/10.1115/1.4035458
Published Online: April 13, 2017
View Articletitled, Performance Comparison Between Fast Fourier Transform-Based Segmentation, Feature Selection, and Fault Identification Algorithm and Neural Network for the Condition Monitoring of Centrifugal Equipment
Open the PDF for Performance Comparison Between Fast Fourier Transform-Based Segmentation, Feature Selection, and Fault Identification Algorithm and Neural Network for the Condition Monitoring of Centrifugal Equipment in another window
Topics: Algorithms, Artificial neural networks, Feature selection, Image segmentation, Machinery, Condition monitoring