Study on Fault Diagnosis Expert System for Roller Bearing Based on Wavelet Transform
YU Yun-man · Machine Design and Research · 2005
In this paper, the application of wavelet transform to roller bearing′s fault feature extraction is simply introduced. Combining wavelet transform with expert system technology, a kind of fault diagnosis system for roller bearing under Delphi6 is researched. The system archetacture, the functions of each module, the knowledge expression, the organizing form of knowledge base, and diagnosis inferential strategy are detailedly described. The diagnosis expert system has been applied to the intelligent detection and diagnosis of the engine roller bearing.