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
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)