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,
2Division of Electric Power System, China Electric
Power Research Institute,
E-mail: email@example.com, firstname.lastname@example.org, email@example.com
(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.
 Han J., Zhang R. L. Failure mechanism and diagnosis technology of rotating machinery. Mechanical Industry Press, Beijing, 1997, (in Chinese).
 Li X., Luo X. K., Zhang Z. Y. Development of an expert system based on fault diagnosis of rotating machinery experiment. Equipment Manufacturing Technology, Vol. 2, 2009, p. 108‑111, (in Chinese).
 Zhang J., Gao X. J., Yao J. B., Zhang Z. Technology of expert system based on neural network. Journal of Jilin University (Information Science Edition), Vol. 3, 2009, p. 319‑324, (in Chinese).
 He Q., Li X. Q. Management of knowledge base of expert system for fault diagnosis of rotating machinery. Applied Mechanics and Materials, Vol. 44‑47, Part 3, 2011, p. 2935‑2939.
 Lei Y. G., He Z. J., Zi Y. Y. A new approach to intelligent fault diagnosis of rotating machinery. Expert System with Applications, Vol. 35, Issue 4, 2008, p. 1593‑1600.
 Wang Y. F., Xie Y. P. Fault diagnosis and analysis of rotor imbalance of rotor machinery. Journal of Hunan Industry Polytechnic, Vol. 9, Issue 5, 2009, p. 6‑7, (in Chinese).
 Fan Y. S. Modern Signal Processing Methods of Machinery and Equipment Diagnosis. China National Defence Industry Press, Beijing, 2009, (in Chinese).
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