Binary Resolution Matrix Based Incremental Attribute Reduction for Fault Diagnosis

Xiao Yu Chen; Wen Liao Du; An Sheng Li; Kun Li; Chun Hua Qian

doi:10.4028/www.scientific.net/KEM.693.1346

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HomeKey Engineering MaterialsKey Engineering Materials Vol. 693Binary Resolution Matrix Based Incremental...

Binary Resolution Matrix Based Incremental Attribute Reduction for Fault Diagnosis

Abstract:

Rough set theory is a useful tool for attribute reduction of fault diagnosis for rotating machinery, but cannot be efficiently used to sample increased areas. Aiming at the problem of incremental attribute reduction, a novel attribute reduction algorithm was put forward based on the binary resolution matrix for the two updating situations and the algorithm had a low space complex. Finally, with the fault diagnosis experiments of the bearing, the attribute reduction method was proved to be correct.

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Periodical:

Key Engineering Materials (Volume 693)

Pages:

1346-1349

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.693.1346

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Online since:

May 2016

Authors:

Xiao Yu Chen*, Wen Liao Du, An Sheng Li, Kun Li, Chun Hua Qian

Keywords:

Attribute Reduction, Binary Resolution Matrix, Fault Diagnosis, Rotating Machinery

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* - Corresponding Author

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