Application of Fault Phenomenon Vector Distance Discriminance in Woodworking Machinery System Fault Diagnosis

نویسندگان

  • Yun Jie Xu
  • Shu Dong Xiu
  • Qun Sheng Men
  • Liang Fang
چکیده

Aiming at the problem of diagnosis difficulty caused by too many factors of woodworking machinery system, a kind of diagnosing method based on fault phenomenon was presented. The research on woodworking machinery system fault phenomenon space arrived at conclusion that the emergency of each fault phenomenon subject to 0-1 distribution. Therefore, phenomenon vector corresponding to each fault formed cluster whose accumulation point is expectation of vector. After exclusion of abnormal vectors, the distance discrimination was used to fault diagnosis to establish expert system based on fault phenomenon vector. The confirmed result was return back to fault database so that the system achieve self-learning of real-time diagnosis experiences. Finally, the example on wood-wool working equipment proves that the diagnostic method has characteristics of good real-time, simple operation and high diagnostic accuracy.

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عنوان ژورنال:
  • JSW

دوره 6  شماره 

صفحات  -

تاریخ انتشار 2011