Volume 6 Number 5 (May 2011)
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JSW 2011 Vol.6(5): 842-848
doi: 10.4304/jsw.6.5.842-848

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

Yun-Jie Xu 1 , Shu-Dong Xiu 2 , Quan-Sheng Men 2 , Liang Fang 2

  • 1 School of Engineering, Zhejiang Agricultural & Forestry University, Lin’an, China
  • 2 School of technology, Zhejiang Agricultural & Forestry University, Lin’an, China

Abstract

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.

Keywords

  • woodworking machinery system
  • distance d
jsw0605-11

How to Cite

Copied

Yun-Jie Xu, Shu-Dong Xiu, Quan-Sheng Men, and Liang Fang, "Application of Fault Phenomenon Vector Distance Discriminance in Woodworking Machinery System Fault Diagnosis," Journal of Software, vol. 6, no. 5, pp. 842-848, 2011. https://doi.org/ 10.4304/jsw.6.5.842-848

Copyright & License

Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Biannually

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, CNKI, 

  • Google Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: editor@jsoftware.us

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