Monitoring and diagnosis of bearing defects using data dependent systems
Document Type
Article
Publication Date
1-1-1996
Abstract
A new bearing defect detection scheme is proposed using the dala dependent systems (DDS) methodology. The detection scheme has two parts: monitoring and diagnosis. Monitoring indicates the stability of the defect and diagnosis identifies when it is significantly large and its location. The detection scheme uses two separate indices: band energy and detection vector. Two life-tests were used to judge the effectiveness of the scheme. In both tests, the scheme identified the defect (on the inner-race and the outer-race) several days before failure occurred. The detection scheme thus provides excellent results when predicting both types of defects. © 1996 John Wiley & Sons, Inc.
Publication Title
Integrated Computer-Aided Engineering
Recommended Citation
Pandit, S.,
Paul, D.,
&
Roth, J.
(1996).
Monitoring and diagnosis of bearing defects using data dependent systems.
Integrated Computer-Aided Engineering,
3(4), 268-278.
http://doi.org/10.3233/ica-1996-3404
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/14080
