Bearing fault diagnosis based on vibro-acoustic data fusion and 1D-CNN network

•The 1D-CNN-based vibro-acoustic sensor data fusion (VAF) algorithm is proposed for bearing fault diagnosis.•Multi-modal sensors are used to collect simultaneously the vibration and acoustic signals as inputs.•A visualization analysis is conducted to investigate the inner mechanism of the proposed m...

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Veröffentlicht in:	Measurement : journal of the International Measurement Confederation 2021-03, Vol.173, p.108518, Article 108518
Hauptverfasser:	Wang, Xin, Mao, Dongxing, Li, Xiaodong
Format:	Artikel
Sprache:	eng
Schlagworte:	Accelerometers Algorithms Bearing fault diagnosis Bearings Convolutional neural network Data integration Deep learning Fault diagnosis Feature extraction Multi-modal data fusion Rotating machinery Sensors Signal processing
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