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
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.
王桂梅，李艳强，宋 辉，李永利. 基于贝叶斯网络的复杂系统故障诊断的研究[J]. 煤炭与化工, 2014, 37(11): 4-7.
WANG Gui-mei， LI Yan-qiang， SONG Hui， LI Yong-li. Study on Improving Bayesian Network-based
Fault Diagnosis Technology. CCI, 2014, 37(11): 4-7.
