Intelligent fault prediction system based on internet of things

Xiaoli Xu, Tao Chen, Mamoru Minami

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

Fault prediction is the key technology to ensure the safe operation of large equipment. Based on the investigation of current and developing research of fault prediction, an intelligent fault prediction system based on internet of things is proposed in this paper. The system is used for key mechanical equipment groups, and aims at improving the working efficiency and the intelligent level of fault prediction. First the characteristics of the system are analyzed, and then the four-layer functional architecture of the system is designed to realize comprehensive condition monitoring, reliable information transmission and computer intelligent information processing for fault prediction. And three main difficulties faced in the system are discussed. The fault prediction system based on internet of things can provide technical means to achieve scientific predictive maintenance for large key mechanical equipment groups.

Original languageEnglish
Pages (from-to)833-839
Number of pages7
JournalComputers and Mathematics with Applications
Volume64
Issue number5
DOIs
Publication statusPublished - Sep 1 2012

Keywords

  • Fault prediction
  • Intelligent computer information processing
  • Internet of things
  • Mechanical equipment groups
  • Predictive maintenance

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computational Theory and Mathematics
  • Computational Mathematics

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