Abstract
This paper describes the application of an important branch of artificial intelligence— expert system in faults diagnosis of rotating machinery. By using the fuzzy sets theory and the method of confidence, a model of inference of non-precise is first introduced. Then, an expert system (MMMD) for faults diagnosis of turbogenerator set is described in detail. MMMD has used some idea about static state variable and dynamic variable and semantic chain and so on. MMMD has consulting and explaining subsystem. Finally, some practical examples of faults diagnosis are given.
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References
Shao Chengxun, The application of fuzzy set theory in the fault diagnosis for vibration of trubomachine, CSMDT’86, June, 1986.
S.M.Weiss & C.A.Kulikowski, A practical guide for designing expert system, JiLin university press, August, 1986.
Fu Jinshun, Artifical intelligence and application, Qinhua university press, September, 1987.
Lin Xiaorui, The principle and practice of expert system, Qinhua university press, Apri 1,1988.
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© 1990 Chapman and Hall
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Xingwei, J., Shujian, W. (1990). Intellectualization of faults diagnosis of rotating machinery — Expert System. In: Rao, R.B.K.N., Au, J., Griffiths, B. (eds) Condition Monitoring and Diagnostic Engineering Management. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0431-6_43
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DOI: https://doi.org/10.1007/978-94-009-0431-6_43
Publisher Name: Springer, Dordrecht
Print ISBN: 978-0-412-38560-5
Online ISBN: 978-94-009-0431-6
eBook Packages: Springer Book Archive