33. A novel expert system of fault diagnosis based on vibration for rotating machinery

Qing He1, Xiaotong Zhao2, Dongmei Du3

1, 3School of Energy Power and Mechanical Engineering,
North China Electric Power University, Beijing 102206,

2Division of Electric Power System, China Electric Power Research Institute,
Beijing 100192, China

1Corresponding author

E-mail: 1hqng@163.com, 2zhaoxt@epri.sgcc.com.cn, 3ddongm@ncepu.edu.cn

(Received 2 September 2013; accepted 5 December 2013)

Abstract. To avoid significant losses of rotating machinery which works in high‑speed and heavy load for long-term, it is necessary to find faults by means of vibrations. A novel expert system of vibration fault diagnosis based on artificial intelligence for rotating machinery was presented, in which a equipment property database is established to obtain the symptom frequencies of fault of components, such as rotor, roll bearing and gear box, of equipment, so any fault can be found quickly and effectively and then the losses of fault can be reduced and further eliminated. The diagnostic reasoning engine of the system combined the forward reasons method and the forward‑backward hybrid reasons method. It is proved by the diagnostic examples that the system is reasonable and scientific in structure, quick and reliable in diagnosis.

Keywords: rotating machinery, vibration, fault diagnosis, expert system, equipment property, diagnostic knowledge, reasoning engine.


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Cite this article

He Qing, Zhao Xiaotong, Du Dongmei A novel expert system of fault diagnosis based on vibration for rotating machinery. Journal of Measurements in Engineering, Vol. 1, Issue 4, 2013, p. 219‑227.


Journal of Measurements in Engineering. December 2013, Volume 1, Issue 4
Vibroengineering. ISSN Print 2335-2124, ISSN Online 2424-4635, Kaunas, Lithuania