An intelligent bearing fault diagnosis based on hybrid signal processing and Henry gas solubility optimization

Bearing is regarded as one of the core elements in rotating machines and its fault diagnosis is essential for better reliability and availability of the rotating machines. This paper puts forward an intelligent vibration signal-based fault diagnosis approach for bearing faults identification at an e...

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Veröffentlicht in:	Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science Journal of mechanical engineering science, 2022-10, Vol.236 (19), p.10378-10391
Hauptverfasser:	Mishra, Rismaya Kumar, Choudhary, Anurag, Mohanty, AR, Fatima, S
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Discrete Wavelet Transform Fault detection Fault diagnosis Feature extraction Frequency shift Gas solubility Hilbert transformation Optimization Rotating machinery Rotating machines Signal processing Wavelet transforms
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