Fault diagnosis system based on fuzzy-inference

Sen-lin Cheng (), Qiang Wei and Zhao-hong Ye
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Sen-lin Cheng: Chongqing University
Qiang Wei: Chongqing University
Zhao-hong Ye: Chongqing University

Fuzzy Information and Engineering, 2012, vol. 4, issue 1, 51-61

Abstract: Abstract Aimed at deficiencies of the traditional fault diagnosis method for pneumatic press, an automatic fault diagnosis system is established and its purpose including improvement of preferment and precision was experimented. First, the fuzzy inference algorithm is analyzed. Then the fuzzy relationship between the fault symptom and the fault cause is compared. Finally, the paper takes the pneumatic press as an example, and established a fast and efficient fault diagnosis system based on fuzzy inference. The practical test results show that the accuracy of fault diagnosis and forecast is improved, and the fuzzy reference algorithm can satisfy the system requirements of security and stabilization as well as higher precision and rapid speed.

Keywords: Pneumatic press; Fuzzy inference; Fault diagnosis system (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1007/s12543-012-0100-6

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