Robust Fault Detection of Wind Energy Conversion Systems Based on Dynamic Neural Networks
نویسندگان
چکیده
منابع مشابه
Robust Fault Detection of Wind Energy Conversion Systems Based on Dynamic Neural Networks
Occurrence of faults in wind energy conversion systems (WECSs) is inevitable. In order to detect the occurred faults at the appropriate time, avoid heavy economic losses, ensure safe system operation, prevent damage to adjacent relevant systems, and facilitate timely repair of failed components; a fault detection system (FDS) is required. Recurrent neural networks (RNNs) have gained a noticeabl...
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ژورنال
عنوان ژورنال: Computational Intelligence and Neuroscience
سال: 2014
ISSN: 1687-5265,1687-5273
DOI: 10.1155/2014/580972