Application of particle swarm optimization blind source separation technology in fault diagnosis of gearbox |
| |
| Authors: | HUANG Jin-ying PAN Hong-xia BI Shi-hua YANG Xi-wang |
| |
| Affiliation: | 1. School of Mechanical Engineering and Automatization;North University of China;Taiyuan 030051;China;2. School of Aerospace Science and Technology;Beijing Institute of Technology;Beijing 100081;3. School of Electronic and Computer Science Technology;China |
| |
| 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 thre... |
| |
| Keywords: | PSO blind source separation fault diagnosis fault information enhancement gearbox |
| 本文献已被 CNKI 维普 等数据库收录！ |
