Steam Turbine Fault Diagnosis Method Based on Rough Set Theory and Bayesian Network

2007 ◽  
Author(s):  
Pu Han ◽  
Deli Zhang ◽  
Lihui Zhou ◽  
Songming Jiao
Keyword(s):  
Fault Diagnosis ◽  
Bayesian Network ◽  
Steam Turbine ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Diagnosis Method

Research on Fault Diagnosis Method Based on CBR and Rough Set Theory

2012 ◽  
Vol 170-173 ◽  
pp. 3644-3648
Author(s):  
Chun Fei Yuan ◽  
Jing Cai ◽  
Yi Ming Xu
Keyword(s):  
Fault Diagnosis ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Weighting Coefficient ◽  
Case Based Reasoning ◽  
Diagnosis Method ◽  
Maintenance Work ◽  
Fault Diagnosis System ◽  
Case Based

Modern fault diagnosis system always is a dynamic, flexible and uncertain complicated system, so many fault diagnosis methods are not effective to determine fault causes. Considering that abundant of fault diagnosis cases have been accumulated in daily maintenance work, a fault diagnosis method based on case-based reasoning (CBR) and rough set theory is proposed. Rough set theory is employed to process reduction on attributes and the weighting coefficient of case description attributes. This method makes full use of the advantage of" let the data speak". At last the method is testified by an example, and the result shows it is feasible and effective.

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