Fault Diagnosis Method for Rotating Machinery Based on Improved CBR

Abstract A novel method to detect the faults of rotating machinery using improved case-based reasoning is proposed in this article, which can fully utilize experience and intelligence previous cases realize an intelligent diagnosis. Especially, identification process a new fault state designed address problem that not included case base cannot be automatically recognized. The presented approach performed test gear bearing datasets. And good diagnosis results are achieved, verifies effectiveness approach.