Development of a Virtual Fault Diagnostic System For Rolling Bearing
[1]WANG Jie,WANG Xiaochange.Development of a Virtual Fault Diagnostic System For Rolling Bearing[J].Journal of Zhengzhou University (Engineering Science),2010,31(02):120-.
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
31卷
Number of periods:
2010 No.02
Page number:
120-
Column:
Public date:
2010-02-02
- Title:
- Development of a Virtual Fault Diagnostic System For Rolling Bearing
- Keywords:
- olling beating; fault diagnosis; virtual system; rough sets; BP neural network
- CLC:
- -
- DOI:
- -
- Abstract:
- Aiming at rolling bearings，the implementation procedure of a new style fault diagnostic system ispresented in this paper．The combination of rough sets and BP neural network are adopted in the design of thediagnostic system．Utilizing the knowledge reduction ability of rough sets theory，the diagnostic system prepro—cesses the collected fault symptom data at first，i．e．the discretization of continuous attributes by using compe—tition learning neural networks．The intermediate output is introduced to software of“Rosetta”to be analyzedstep by step until the smallest condition attributed sets are obtained。Based on the smallest condition attributedsets，the BP networks are built，which are used to recognize the faults of rolling bearings and then transfer thefault states back to LabView for displaying．The example analysis indicated that the system can enhance faultdiagnosis convergence speed and the network training time reduces 1 76 steps at the same expected error．
- References:
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Last Update:
1900-01-01