Rotating machinery health assessment method for deep self-encoding network

The invention discloses a rotary mechanical health assessment method for a deep self-encoding network. The method comprises the steps of (1) vibration signal acquisition, (2) original feature extraction, (3) feature dimension reduction by using a deep auto-encoder (DAE) network, (4) feature selectio...

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Bibliographische Detailangaben
Hauptverfasser: JIA MINPING, YAN XIAO'AN, XU FEIYUN, SHE DAOMING, HU JIANZHONG, HUANG PENG
Format: Patent
Sprache:chi ; eng
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