Visualized Stacked Denoising Auto-Encoder Model for Extracting and Evaluating the State Features of Rolling Bearings

Extracting intuitive operating state features from vibration signals without prior knowledge is a prospective requirement for health monitoring and fault diagnosis in bearings. In this paper, a visualized stacked denoising auto-encoder (VSDAE) model is proposed for the unsupervised extraction and qu...

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Bibliographic Details

Published in:	Machines
Main Authors:	Qing Zhang, Junshen Zhang, Ye Wang, Lie Chen
Format:	Article
Language:	English
Published:	MDPI AG 2022-09-01
Subjects:	stacked denoising auto-encoder visualization feature extraction feature evaluation rolling bearing
Online Access:	https://www.mdpi.com/2075-1702/10/10/849