Some Theoretical Problems and Concepts in Developing the Techniques of Machinery

Monitoring and Diagnosis
Conference paper
Part of the International Centre for Mechanical Sciences book series (CISM, volume 352)


In recent years, the condition monitoring and fault diagnosis techniques of machinery and equipment have attracted a great attention and made a rapid progress. In this paper, from the aspects of diagnosis theory and expert system, signal processing and pattern recognition, emphasis on the study of fault mechanism and some concepts related, auther intends to express some theoratical problems and some suggestions in devoloping the techniques of machinery monitoring and diagnosis briefly.


Fault Diagnosis Back Propagation Neural Network Fault Mechanism Fault Recognition Machine Damage 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. [1]
    Xu Min, ‘Some Theoratical Problems and Suggestions in the Development of Equipment Diagnosis Techuiques’. Sino-Japan Chemical Equipment Diagnisis Conf. Proceedings, Dec., 1992, China.Google Scholar
  2. [2]
    Xu Min, H. Yan, J. Chen, ‘Application of Neural Network to the Fault Diagnosis of Ball Bearing’, Proceedings, MOVIC’92, Japan.Google Scholar
  3. [3]
    Dong S. Kim and Others, ‘Machinery Diagnostics for Rotating Machinery Using Back Propagation Neural Network’ Proceedings, IMMDC ‘91, Las Vegas.Google Scholar
  4. [4]
    Liu Yong-Hong, Xu Min and Yan Hui, ‘The Fault Diagnosis Method by Grey Relational Analysis of ABo — Mode and the Comparison with Fuzzy Diagnosis Method’, Proceedings, IMMDC’91, Las Vegas.Google Scholar

Copyright information

© Springer-Verlag Wien 1994

Authors and Affiliations

  • Min Xu
    • 1
  1. 1.Shanghai Jiao Tong UniversityShanghaiChina

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