Journal of Mechanical Science and Technology

  • 제14권7호
  • /
  • Pages.773-781
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  • 2000
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  • 1738-494X(pISSN)
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  • 1976-3824(eISSN)
대한기계학회 (The Korean Society of Mechanical Engineers)
권호 표지

Fault Detection of the Cylindrical Plunge Grinding Process by Using the Parameters of AE Signals

  • Kwak, Jae-Seob (School of Mechanical Engineering, Pusan National University) ;
  • Song, Ji-Bok (School of Mechanical Engineering, Pusan National University)
  • 발행 : 2000.07.01
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초록

The focus of this study is the development of a credible fault detection system of the cylindrical plunge grinding process. The acoustic emission (AE) signals generated during machining were analyzed to determine the relationship between grinding-related faults and characteristics of changes in signals. Furthermore, a neural network, which has excellent ability in pattern classification, was applied to the diagnosis system. The neural network was optimized with a momentum coefficient, a learning rate, and a structure of the hidden layer in the iterative learning process. The success rates of fault detection were verified.

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참고문헌

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