By Topic

Based on rolling bearing failure diagnosis in wavelet analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Han Quan-li ; Department of Mechanical and Electronic Engineering, Henan Polytechnic Institute, Nan yang, China ; Wang Hong-ying

In this paper, wavelet features of fault-sensitive characteristics of the signal expounded scale - wavelet power spectrum comparison method and time - autocorrelation of wavelet power spectrum analysis,for the rolling bearing fault diagnosis signal complex and difficult to pass the signal to determine the bearing point of failure, given the normal time-domain waveform and the rolling bearing vibration acceleration signals scale - wavelet energy spectrum, Practice shows that the wavelet analysis to deal with non-stationary signals have a very good application effect, which can effectively be used for rolling bearing fault diagnosis.

Published in:

2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering  (Volume:6 )

Date of Conference:

24-26 Aug. 2010