Incipient Fault Detection of Rolling Element Bearings Based on Deep EMD-PCA Algorithm

Due to the relatively weak early fault characteristics of rolling bearings, the difficulty of early fault detection increases. For unsolving this problem, an incipient fault detection method based on deep empirical mode decomposition and principal component analysis (Deep EMD-PCA) is proposed. In th...

Full description

Saved in:

Bibliographic Details
Published in:	Shock and vibration Vol. 2020; no. 2020; pp. 1 - 17
Main Authors:	Hou, Maxiao, Liu, Zhenpeng, Yuan, Zhe, Guo, Jin, Shi, Huaitao, Sun, Jie
Format:	Journal Article
Language:	English
Published:	Cairo, Egypt Hindawi Publishing Corporation 2020 Hindawi John Wiley & Sons, Inc Wiley
Subjects:	Algorithms Background noise Bearing strength Bearings Data compression Data processing Decomposition Deep learning Delay time Empirical analysis Failure detection Fault detection Fault diagnosis Feature extraction Methods Noise Principal components analysis Roller bearings Sample variance Statistical analysis Wavelet transforms
ISSN:	1070-9622, 1875-9203
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!