FAULT DIAGNOSIS OF ROTARY MACHINE BY FUZZY NEURAL NETWORKS

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概要

• 論文の詳細を見る

• This paper is concerned with a research about fuzzy neural networks and application in fault diagnosis of rotary machine. To build robust fault diagnosis by neural networks, fuzzy neural networks are proposed. Fuzzy neural networks can memorize fault patterns and recognize fault patterns by association, and have good tolerance to unstable practical sample data. Through application in monitoring and fault diagnosis of pump sets of oil plants, it was verified that fuzzy neural networks are effective to handle practical sample data and make accurate fault diagnosis.

• 一般社団法人日本機械学会の論文

著者

• ASAKURA Toshiyuki

  Faculty of Engineering, Fukui University

• Xu B

  Beijng Institute Of Machinery Industry

• Xu B

  Beijing Institute Of Machinery Industry

• Zhang Sheng

  Faculty Of Engineering Fukui University

• XU Xiaoli

  Beijng Institute of Machinery Industry

• Zhang Sheng

  Dept. of Intelligence, Faculty of Engineering, Fukui University

• Asakura Toshiyuki

  Dept. of Intelligence, Faculty of Engineering, Fukui University

• Xu Xiaoli

  Department of Mechanical Engineering, Beijing Institute of Machinery

• Xu Baojie

  Department of Mechanical Engineering, Beijing Institute of Machinery

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