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Fault diagnosis system based on fuzzy-inference

Author

Listed:
  • Sen-lin Cheng

    (Chongqing University
    ICT Research Center of Chongqing University)

  • Qiang Wei

    (Chongqing University)

  • Zhao-hong Ye

    (Chongqing University)

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.

Suggested Citation

  • Sen-lin Cheng & Qiang Wei & Zhao-hong Ye, 2012. "Fault diagnosis system based on fuzzy-inference," Fuzzy Information and Engineering, Springer, vol. 4(1), pages 51-61, March.
    • Handle: RePEc:spr:fuzinf:v:4:y:2012:i:1:d:10.1007_s12543-012-0100-6
    DOI: 10.1007/s12543-012-0100-6
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    Cited by:

    1. Yanling Lv & Yuting Gao & Jian Zhang & Chenmin Deng & Shiqiang Hou, 2018. "Symmetrical Loss of Excitation Fault Diagnosis in an Asynchronized High-Voltage Generator," Energies, MDPI, vol. 11(11), pages 1-18, November.

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