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

作者：Huang Jin ying^*; Pan Hong xia; Bi Shi hua; Yang Xi wang

来源：Journal of Central South University of Technology, 2008, 15: 409-415.

DOI：10.1007/s11771-008-0497-6

• PSO blind source separation
• fault diagnosis
• fault information enhancement
• gearbox

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.

• 出版日期2008-12
• 单位中北大学; 北京理工大学