Automatic diagnosis method for structural fault of rotating machinery based on distinctive frequency components and support vector machines under varied operating conditions

This paper presents a new, intelligent diagnostic method for identifying structural faults in rotating machinery based on distinctive frequency components (DFCs) and support vector machines (SVMs) under varied operating conditions. This method consists of three stages. First, when investigating and...

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Veröffentlicht in:Neurocomputing (Amsterdam) 2013-09, Vol.116, p.326-335
Hauptverfasser: Xue, Hongtao, Wang, Huaqing, Chen, Peng, Li, Ke, Song, Liuyang
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Sprache:eng
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