Rolling Bearing Fault Diagnosis Based on Blind Source Separation-Reference-Cited by-同舟云学术

Rolling Bearing Fault Diagnosis Based on Blind Source Separation

Published:2012-11 Issue: Volume:217-219 Page:2546-2549
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Chen Chang Zheng¹,Meng Qiang¹,Zhou Hao¹,Zhang Yu¹

Affiliation:

1. Shenyang University of Technology

Abstract

This document presents fault diagnosis method of rolling bearing based on blind source separation. The algorithm based on fast ICA is improved to separate fault signals according to the rolling bearing’s fault characteristics. Through the experiment it is shown that the algorithm can separate the signals collected from rolling bearing and gearbox effectively, which can provide a new method for fault diagnosis and signal processing of machinery equipment.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.217-219.2546.pdf

Reference6 articles.

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