Failure Diagnosis of Machining Tools by Principal Component Analysis

2 References
  • NIHO Tomoya
    Faculty of Computer Science & System Engineering, Kyushu Institute of Technology
  • TOYOTA Toshio
    Faculty of Computer Science & System Engineering, Kyushu Institute of Technology
  • MURAOKA Toshio
    Faculty of Engineering, Kyushu Kyoritsu University
  • USHIO Masaki
    Institute of Mechanics & Electronics, Fukuoka Industrial Technology Center

Bibliographic Information

Other Title
  • 工作機械の主成分分析による異常診断

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Description

Failure diagnosis method of machining is needed to the automated machining process. In this paper, we propose the failure diagnosis method by principal component analysis of dimensionless symptom parameters which indicate the characteristics of waveform of vibration and power spectrum. Resultant symptom parameters which are obtained by principal component analysis are defined as evaluation parameters of condition of machining. Versatile failure criterion which is independent of types of machine and operating conditions can be effectively set.

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Details 詳細情報について

  • CRID
    1571980077374649216
  • NII Article ID
    110003301986
  • NII Book ID
    AN10013243
  • Text Lang
    ja
  • Data Source
    • CiNii Articles

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