Journal of Robotics, Networking and Artificial Life

Volume 1, Issue 1, June 2014, Pages 97 - 102

Intelligent Fault Classification of Rolling Bearing at Variable Speed Based on Reconstructed Phase Space

Authors
Weigang Wen, Weidong Cheng
Corresponding Author
Weigang Wen
Available Online 30 June 2014.
DOI
10.2991/jrnal.2014.1.1.18How to use a DOI?
Keywords
Fault classification; Time delay; embedded dimension; phase space reconstruction; principal components analysis
Abstract

Rolling bearing is a common mechanical part which is subject to be damaged. It is important to monitor the condition of bearing. An effective mean is to extract faulty features of bearing from the vibration signal. In this paper, a method is introduced to realize intelligent classification of bearing state. The vibration signal is reconstructed into phase space by estimating the time delay and embedded dimension of time series. After reconstruction, fault classification is accomplished through normalized principal component analysis. It is testified that this method is effective for classifying fault of bearing by experiment and data analysis.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
1 - 1
Pages
97 - 102
Publication Date
2014/06/30
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.2014.1.1.18How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Weigang Wen
AU  - Weidong Cheng
PY  - 2014
DA  - 2014/06/30
TI  - Intelligent Fault Classification of Rolling Bearing at Variable Speed Based on Reconstructed Phase Space
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 97
EP  - 102
VL  - 1
IS  - 1
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2014.1.1.18
DO  - 10.2991/jrnal.2014.1.1.18
ID  - Wen2014
ER  -