Modified Gaussian convolutional deep belief network and infrared thermal imaging for intelligent fault diagnosis of rotor-bearing system under time-varying speeds

The vast majority of the existing diagnostic studies using deep learning techniques for rotating machinery focus on the vibration analysis under steady rotating speed. Nevertheless, the collected vibration signals are sensitive to time-varying speeds and the vibration sensors may cause structure dam...

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Veröffentlicht in:	Structural health monitoring 2022-03, Vol.21 (2), p.339-353
Hauptverfasser:	Xin, Li, Haidong, Shao, Hongkai, Jiang, Jiawei, Xiang
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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