Skip to main navigation Skip to search Skip to main content

A new statistical model for rolling element bearing fault signals based on alpha-stable distribution

  • Changning Li*
  • , Gang Yu
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A new statistical model for rolling element bearing fault signals is proposed based on alpha-stable distribution. Such a non-Gaussian model can accurately describe statistical characteristic of bearing fault signals with impulsive behavior. The characteristic exponent α of bearing fault signals with different fault degree is estimated by a stable distribution parameter estimation method. Estimation result explains the bearing fault signals belongs alpha-stable process. At the same time, alpha-stable density of every bearing fault signal fit well the empirical probability density in log-log plots, and their tail possess the same heavy tail behavior. Then the statistical model for different fault degree bearing signals all are valid.

Original languageEnglish
Title of host publicationICCMS 2010 - 2010 International Conference on Computer Modeling and Simulation
Pages386-390
Number of pages5
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 International Conference on Computer Modeling and Simulation, ICCMS 2010 - Sanya, China
Duration: 22 Jan 201024 Jan 2010

Publication series

NameICCMS 2010 - 2010 International Conference on Computer Modeling and Simulation
Volume4

Conference

Conference2010 International Conference on Computer Modeling and Simulation, ICCMS 2010
Country/TerritoryChina
CitySanya
Period22/01/1024/01/10

Keywords

  • Alpha-stable distribution
  • Bearing fault signals
  • Impulse-like signal
  • Parameter estimation

Fingerprint

Dive into the research topics of 'A new statistical model for rolling element bearing fault signals based on alpha-stable distribution'. Together they form a unique fingerprint.

Cite this