The Feature Selection in Rolling Bearing Fault Diagnosing Based on Parts-Principle Component Analysis

  • Kan Chen, Pan Fu
  • Published 2009 in
    2009 Fifth International Conference on Natural…


In this study, PCA (Principal Component Analysis) was used to select features and eliminate the redundancy features in process of rolling bearing fault monitoring. And then a new method was mentioned out to optimize the feature space with P-PCA (Parts Principal Component Analysis), which needs to deal with the data of each fault categories with PCA firstly… (More)
DOI: 10.1109/ICNC.2009.278