Intelligent diagnosis and prediction of turbine digital electro-hydraulic control system faults: Design and experimentation

A physical modeling approach was adopted to build a Digital Electro-Hydraulic Control (DEH) system simulation model and the fault models using the SIMULINK tool. This research combined the advantages of the gray system and neural network to build a multi-parameter gray error neural network fault pre...

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Veröffentlicht in:	PloS one Jg. 18; H. 11; S. e0294413
Hauptverfasser:	Zhong, Ling, Li, Qing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	San Francisco Public Library of Science 15.11.2023 Public Library of Science (PLoS)
Schlagworte:	Analysis Application specific integrated circuits Control systems Control systems design Custom integrated circuits Failure Fault diagnosis Hydraulic control Hydraulics Medical diagnosis Methods Neural networks Parameter estimation Parameter identification Power plants Prediction models Simulation Simulation methods Simulation models Turbines China
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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