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Fault Diagnosis System with Prediction of Machine Using Neural Networks

Research Project

Project/Area Number 10650256
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeSingle-year Grants
Section一般
Research Field Intelligent mechanics/Mechanical systems
Research InstitutionFukui University

Principal Investigator

ASAKURA Toshiyuki  Fukui University, Faculty of Engineering, Professor, 工学部, 教授 (70027803)

Co-Investigator(Kenkyū-buntansha) MINAMI Mamoru  Fukui University, Faculty of Engineering, Associate Professor, 工学部, 助教授 (80262608)
Project Period (FY) 1998 – 1999
Project Status Completed (Fiscal Year 1999)
Budget Amount *help
¥1,100,000 (Direct Cost: ¥1,100,000)
Fiscal Year 1999: ¥1,100,000 (Direct Cost: ¥1,100,000)
KeywordsFault Diagnosis / Neural Networks / Learning / Sound Signal / Spectrum / System Identification / Fault Prediction / Sensor / ニューラルネットワーク / 機械システム / FFTアナライザ
Research Abstract

Among the many problems in industries, the most important factor is for each machine systems to work in the normal state. In order to maintain a normal condition of a machine system, a fault prediction and diagnosis system are necessary, especially for those such as electrical generators, which run continuously for long time. The failures should be detected as soon as possible when failures occur, because if these machines run at abnormal condition continuously, it may result in heavy loss and even loss of human lives. Up to date, though many kinds of diagnosis methods have been developed, much of them have been based on traditional method of establishing mathematical model, analyzing variety of parameters and judging the operating condition of machine system. However, because of the complication of machine system, the uncertainty of operating condition and many nonlinear factors, it is, in most cases, very difficult to establish mathematical model of machine structure and to know the … More operating conditions of the machine. Also it is that, in some cases, even impossible to detect failures occurred when it is running. So that, many researchers are recently attracted in untraditional approaches.
This study develops a method of fault diagnosis based on machine fault diagnosis system using neural networks. For approached of fault diagnosis, perhaps the oldest and the most wide used method is hearing sound of operating machine by human ear. Because, it can be thought that sound signal of operating machine includes important information of machine condition. Therefore, it can be considered that sound signal is suitable for fault diagnosis of machines. However, time series data of sound signal is very complex, and it is influenced by noise. Here, the power spectrum data of sound signal is used as fault diagnosis signal. In this method, the diagnosis system has been constructed by neural network. The diagnosis neural network learns the already obtained data of both normal and abnormal operating condition of machine system. This diagnosis system diagnoses the fault based on learned condition. Through experiments, the effectiveness of proposed diagnosis system is verified. Less

Report

(3 results)
  • 1999 Annual Research Report   Final Research Report Summary
  • 1998 Annual Research Report
  • Research Products

    (20 results)

All Other

All Publications (20 results)

  • [Publications] 朝倉俊行他3名: "ニューラルネットワークによる機械の故障診断システム"日本機械学会論文集(C編). 65-632. 194-200 (1999)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] T. Asakura et al. 2: "A Study of Fault Diagnosis System Using Neural Networks"Proceedings of IMEKO-XV World Congress. 8,TC-10. 39-44 (1999)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] T. Asakura et al. 2: "Machine's Fault Diagnosis System Using Neural Networks"Proceedings of the 30th ISCIE International Symposium. 1. 215-220 (1998)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] T. Asakura et al. 2: "A Study of Fault Diagnosis System Using Neural Networks"Proceedings of the 29th ISCIE International Symposium. 1. 19-24 (1997)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] T. Asakura et al. 3: "Fault Diagnosis System of Machine Using Neural Networks and Its Applications"福井大学工学部研究報告. 45-1. 1-10 (1997)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] 山本鎮男編、朝倉俊行他著: "ヘルスモニタリング―機械・プラント・建築・土木構造物・医療の健全性監視―"共立出版. 255 (1999)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] T. Asakura, T. Kobayashi, B. Xu and S. Hayashi: "Fault Diagnosis System of Machine Using Neural Networks"Trans. JSME(C). 65-632. 1498-1504 (1999)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] T. Asakura, T. Kobayashi and S. Hayashi: "A study of Fault Diagnosis System Using Neural Networks"Proc. of IMEKO-XV World Congress 1999. TC-10. 39-44 (1999)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] T. Asakura, T. Kobayashi and S. Hayashi: "Machine's Fault Diagnosis System Using Neural Networks"Proc. of the 30th Inter. Sympo. on Stochastic Systems Theory. 215-220 (1998)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] T. Asakura, T. Kobayashi and S. Hayashi: "A Study of Fault Diagnosis System Using Neural Networks"Proc. of the 29th Inter. Sympo. on Stochastic Systems Theory and Its Applications. 19-24 (1997)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] T. Asakura, T. Kobayashi, S. Hayashi and B. Xu: "Fault Diagnosis system of Machine Using Neural Networks and Its Application"MEMOIRS of THE FACULTY of ENGINEERING, FUKUI UNIVERSITY. 45-1. 1-10 (1997)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] 朝倉俊行他3名: "ニューラルネットワークによる機械の故障診断システム"日本機械学会論文集(C編). 65-632. 194-200 (1999)

    • Related Report
      1999 Annual Research Report
  • [Publications] T.Asakura et al.2: "A Study of Fault Diagnosis System Using Neural Networks"Proceedings of IMEKO-XV World Congress. 8,TC-10. 39-44 (1999)

    • Related Report
      1999 Annual Research Report
  • [Publications] T.Asakura et al.2: "Machine's Fault Diagnosis System Using Neural Networks"Proceedings of the 30th ISCIE International Symposium. 1. 215-220 (1998)

    • Related Report
      1999 Annual Research Report
  • [Publications] T.Asakura et al.2: "A Study of Fault Diagnosis System Using Neural Networks"Proceedings of the 29th ISCIE International Symposium. 1. 19-24 (1997)

    • Related Report
      1999 Annual Research Report
  • [Publications] T.Asakura et al.3: "Fault Diagnosis System of Machine Using Neural Networks and Its Applications"福井大学工学部研究報告. 45-1. 1-10 (1997)

    • Related Report
      1999 Annual Research Report
  • [Publications] 山本鎮男編、朝倉俊行他著: "ヘルスモニタリング-機械・プラント・建築・土木建造物・医療の健全性監視-"共立出版. 255 (1999)

    • Related Report
      1999 Annual Research Report
  • [Publications] 朝倉俊行、小林 孝、許 宝傑、林 庄司: "ニューラルネットワークによる機械の故障診断システム" 日本機械学会論文集. 65・632(4月号掲載). (1999)

    • Related Report
      1998 Annual Research Report
  • [Publications] T.Asakura,T.Kobayashi,S.Hayashi: "A Study of Fault Diagnosis System using Neural Networks" Proc.of 29th ISCIE Int.Sympo.on Stochastic Sys.19-24 (1998)

    • Related Report
      1998 Annual Research Report
  • [Publications] T.Asakura,T.Kobayashi,S.Hayashi,B.Xu: "Fault Diagnosis System of Machine Using Neural Networks and Its Application" Memoirs of the Faculty of Engi., Fukui University. 1-10 (1997)

    • Related Report
      1998 Annual Research Report

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Published: 1999-04-01   Modified: 2016-04-21  

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