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

Jin Ying Huang*, Hong Xia Pan, Shi Hua Bi, Xi Wang Yang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)409-415
Number of pages7
JournalJournal of Central South University of Technology (English Edition)
Volume15
Issue numberSUPPL. 2
DOIs
Publication statusPublished - Dec 2008

Keywords

  • Fault diagnosis
  • Fault information enhancement
  • Gearbox
  • PSO blind source separation

Fingerprint

Dive into the research topics of 'Application of particle swarm optimization blind source separation technology in fault diagnosis of gearbox'. Together they form a unique fingerprint.

Cite this