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 alpha 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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
