Fault Diagnosis Based on Qualitative Data by Gray System Theory

Li Zhang; Zhi Jian Liu; Da Lin Sun; Dian Hua Yang

doi:10.4028/www.scientific.net/AMM.644-650.1227

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Fault Diagnosis Based on Qualitative Data by Gray...

Fault Diagnosis Based on Qualitative Data by Gray System Theory

Abstract:

Gray system theory is good at dealing with the uncertain problems with a little amount of data. Some equipment’s fault data is abundant, and fault phenomenon is not explicit, uncertain and qualitative. So, it is difficult to diagnosing this kind fault through the traditional methods in a short time. This paper analyzes the data’s feature and then makes quantitative processing. The result shows that by this model, fault diagnosis can be simplified and quickly. And it is proved that the new kind of fault-positioning method for quick diagnosis is effective and efficient.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

1227-1229

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.1227

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Cite this paper

Online since:

September 2014

Authors:

Li Zhang*, Zhi Jian Liu, Da Lin Sun, Dian Hua Yang

Keywords:

Fault Data Qualitative Processing, Fault Diagnosis, Gray System Theory

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* - Corresponding Author

References

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