关键词: 小波变换；能量特征；粗集理论；故障诊断；滚动轴承

Abstract:

A new method was presented for fault diagnosis rule acquisition based on wavelet transform and rough set. It linked the wavelet and rough set theory. The method was applied to roller bearing fault diagnosis successfully. It gives a higher fault diagnosis ratio using energy feature than the traditional method using time and frequency parameters. It proposes a new method for fault diagnosis of roller bearings and other machine equipment, and gives a new method for building the simpler knowledge base of intelligent fault diagnosis system.

Key words: wavelet transform, energy feature, rough set theory, fault diagnosis, roller bearing