Application of Rough Set-Neural Network System in Bearing Fault Diagnosis

Tian Pei Zhou

doi:10.4028/www.scientific.net/AMM.251.21

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 251Application of Rough Set-Neural Network System in...

Application of Rough Set-Neural Network System in Bearing Fault Diagnosis

Abstract:

To the shortcomings of neural network in fault diagnosis, such as multiple input dimensions and the huge amount of data, some reductions from data based on rough sets theory are derived and unessential attributes were eliminated, an optimized rough set-neural network intelligent system was established. Through analyzing for instance, the time of fault diagnosis can be reduced by using the system, and a new idea was provided to diagnosis of high reliability equipments.

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Periodical:

Applied Mechanics and Materials (Volume 251)

Pages:

21-25

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.251.21

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Online since:

December 2012

Authors:

Tian Pei Zhou

Keywords:

Bearing, Fault Diagnosis, Rough Set-Neural Network System

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