An efficient method for bearing fault diagnosis

An efficient method for bearing fault diagnosis

Statistical features and wavelet based fault detection are attempted to find computationally less complex, low-memory, and power for real-time implementation. The mean absolute value (MAV), simple sign integral (SSI), waveform length (WL), slope sign change, and zero crossing are extracted from the...

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Bibliographic Details
Main Authors:	G. Geetha, P. Geethanjali
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2024-12-01
Series:	Systems Science & Control Engineering
Subjects:	Bearing fault classifiers current signal feature combination statistical features deep learning
Online Access:	https://www.tandfonline.com/doi/10.1080/21642583.2024.2329264

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