Application of particle swarm optimization blind source separation technology in fault diagnosis of gearbox
Autor: | Xi-wang Yang, Hong-xia Pan, Jin-ying Huang, Shi-hua Bi |
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Rok vydání: | 2008 |
Předmět: |
Difficult problem
Engineering business.industry Mechanical Engineering Vibration signal processing Particle swarm optimization Control engineering Hardware_PERFORMANCEANDRELIABILITY Fault (power engineering) Signal Blind signal separation Vibration Mechanics of Materials Metallic materials General Materials Science business |
Zdroj: | Journal of Central South University of Technology. 15:409-415 |
ISSN: | 1993-0666 1005-9784 |
DOI: | 10.1007/s11771-008-0497-6 |
Popis: | 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. |
Databáze: | OpenAIRE |
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