Application of Fuzzy Petri Nets in Hydraulic Pump Fault Diagnosis

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Abstract:

In this paper, an approach of fuzzy Petri nets (FPN) is proposed to simulate the fault spreading and diagnosis of hydraulic pump. First, the fuzzy production rules and the definition of FPN were briefly introduced. Then, its knowledge reasoning process and the matrix operations based on an algorithm were conducted, which makes full use of its parallel reasoning ability and makes it simpler and easier to implement. Finally, a case of hydraulic pump fault diagnosis with FPN was presented in detail, for illustrating the interest of the proposed modeling and analysis algorithm.

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Periodical:

Advanced Materials Research (Volumes 1008-1009)

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1176-1179

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August 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Rusheng Zhou, Zongxia Jiao and Shaoping Wang: Acta Aeronautica Et Astronautica Sinica. Vol. 29 (2009), pp.197-203(In Chinese).

Google Scholar

[2] Jinyong Xu, Shijun Luo and Zida Zhang: Journal of Jilin University (Engineering and Technology Edition). Vol. 37 (2007), pp.569-574(In Chinese).

Google Scholar

[3] Murata T: Proceedings of the IEEE. Vol. 77 (1989), pp.541-580.

Google Scholar

[4] Sha Li, Petri Nets-based Fault Diagnosis Techniques with Applications to Hydraulic System, in: Tongji University, Shanghai, pp.64-67, 2006(In Chinese).

Google Scholar

[5] Min Huang, Xiao Lin and Zhiwen Hou: Journal of Central South University (Science and Technology) . Vol. 44 (2013), pp.208-215(In Chinese).

Google Scholar