An intelligent integrated system scheme for machine tool diagnostics

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

11 Scopus Citations
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Author(s)

  • W. Hu
  • A. Starr
  • Z. Zhou
  • A. Leung

Detail(s)

Original languageEnglish
Pages (from-to)836-841
Journal / PublicationInternational Journal of Advanced Manufacturing Technology
Volume18
Issue number11
Publication statusPublished - 2001
Externally publishedYes

Abstract

The technology of neural networks and expert systems are finding increasing applications in the field of machine tool diagnostics. In this paper, the advantages and disadvantages of these methods are analysed and compared. An intelligent integrated diagnosis system based on a combination of the two methods is presented. This scheme aims to exploit the advantages and avoid the disadvantages of neural networks and expert systems. The implementation of the intelligent integrated diagnosis system scheme is also presented. A diagnosis system based on the scheme is introduced, and is applied to the process diagnosis of an existing machining centre. The experimental results show that the integrated system scheme is feasible and effective for machine tool diagnosis tasks.

Research Area(s)

  • Expert systems, Fault diagnosis, Integration, Machine tool, Neural networks

Citation Format(s)

An intelligent integrated system scheme for machine tool diagnostics. / Hu, W.; Starr, A.; Zhou, Z.; Leung, A.

In: International Journal of Advanced Manufacturing Technology, Vol. 18, No. 11, 2001, p. 836-841.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review