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| Study on Improving Bayesian Network-based
Fault Diagnosis Technology |
| WANG Gui-mei1, LI Yan-qiang2, SONG Hui2, LI Yong-li3 |
1. College of Mechanical and Electrical Engineering,Hebei University of Engineering, Handan 056038, China;
2. Hebei Iron and Steel Group Corporation Ltd., Handan 056000, China; 3. WT Partnership, Beijing 100025, China |
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Abstract Due to the fault tree method had large limitations in the application of complex fault diagnosis system, which was difficult to solve complex system fault diagnosis polymorphism exhibited events, uncertainty of information, failure logical relationship and other issues, this paper presented a novel Bayesian network method, which could better solve these problems. Pickling line of the fan fault diagnosis system was taken as an example to verify the effectiveness of this new approach.
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