Bayesian network framework for rotor fault diagnosis

Bingang Xu, Liangsheng Qu, Xiaoming Tao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

15 Citations (Scopus)

Abstract

Bayasian network (BN) is applied to the field of rotor fault diagnosis for increasing the ability to handle uncertainty and inference quality. A general framework of BN for rotor fault diagnosis is proposed, which concerns more information both from the machine performance layer and the symptom layer. The network accords with the general diagnosis thinking of experts. The rotor synchronous fault diagnosis examples demonstrate its good recognition results.
Original languageEnglish
Pages (from-to)66-72
Number of pages7
JournalJixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering
Volume40
Issue number1
Publication statusPublished - 1 Jan 2004

Keywords

  • Bayesian network
  • Fault diagnosis
  • Rotor

ASJC Scopus subject areas

  • Mechanical Engineering

Cite this