会议专题

Research on Signal-Noise Separation Method Based on Particle Swarm Optimization for Vibration Signals

The wavelet analysis is combined with particle swarm optimization (PSO) which is applied to the de-noise process of vibration responding signals in this paper. The fault information has been enhanced. Furthermore, the signal-noise separation method based on particle swarm optimization for vibration signal and the diagnosis precision enhancement technology are studied, by means of the blind source separation technique.

Particle swarm optimization (PSO) Signal-noise separation Fault diagnosis Gear-box

PAN Hongxia HUANG Jinying LIU Zhenwang

School of Mechanical Engineering & Automatization, North University of China, Taiyuan, 030051

国际会议

第七届国际测试技术研讨会

北京

英文

2007-08-05(万方平台首次上网日期,不代表论文的发表时间)