Equipment Fault Diagnosis Based on Incomplete Rough Sets Theory

Yan Qin Su; Shan Gao; Ting Xue Xu

doi:10.4028/www.scientific.net/AMR.490-495.1226

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 490-495Equipment Fault Diagnosis Based on Incomplete...

Equipment Fault Diagnosis Based on Incomplete Rough Sets Theory

Abstract:

There are redundant, incomplete and incorrect data in the equipment test data gained by the test equipments. The complete algorithms and attribution reduction algorithms were analyzed and the equipment fault diagnosis model based on Rough Sets Theory was given. Then, some equipment was diagnosed, and the results indicate that the diagnosis is effective and efficient.

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Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

1226-1230

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.490-495.1226

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Online since:

March 2012

Authors:

Yan Qin Su, Shan Gao, Ting Xue Xu

Keywords:

Fault Diagnosis, Incompletion, Rough Set Theory (RST)

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References

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