Application of particle swarm optimization blind source separation technology in fault diagnosis of gearbox

来源期刊：中南大学学报(英文版)2008年第z2期

论文作者：黄晋英 潘宏侠 毕世华 杨喜旺

文章页码：409 - 415

Key words：PSO blind source separation； fault diagnosis； fault information enhancement； gearbox

Abstract: Blind source separation (BBS) technology was applied to vibration signal processing of gearbox for separating different fault vibration sources and enhancing fault information. An improved BSS algorithm based on particle swarm optimization (PSO) was proposed. It can change the traditional fault-enhancing thought based on de-noising. And it can also solve the practical difficult problem of fault location and low fault diagnosis rate in early stage. It was applied to the vibration signal of gearbox under three working states. The result proves that the BSS greatly enhances fault information and supplies technological method for diagnosis of weak fault.