Volume 6 Number 5 (May 2011)
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JSW 2011 Vol.6(5): 842-848 ISSN: 1796-217X
doi: 10.4304/jsw.6.5.842-848

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

Yun-Jie Xu1, Shu-Dong Xiu2, Quan-Sheng Men2, Liang Fang2
1School of Engineering, Zhejiang Agricultural & Forestry University, Lin’an, China
2School 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.

Index Terms—woodworking machinery system, distance discrimination, fault phenomenon vector, fault diagnosis


Cite: Yun-Jie Xu, Shu-Dong Xiu, Quan-Sheng Men, 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.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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