Improved Bayesian Network in Steam Turbine Fault Diagnosis

作     者：Zhao Qi Institute of information and electrical engineering Hebei University of Engineering Handan China Liu Yi Institute of information and electrical engineering Hebei University of Engineering Handan China 

会议名称：《2010 The 2nd International Conference on Industrial Mechatronics and Automation (ICIMA 2010)》

会议日期：2010年

学科分类：080704[工学-流体机械及工程] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：The national natural science funds (NO.60874116) 

关 键 词：steam turbine fault diagnosis Bayesian network attribute reduction two-node union reverse inference Bently-RK4 rotor vibration bench 

摘      要：The fault diagnosis model of steam turbine based on Bayesian network is direct impacts on the complexity of the diagnostic process,so the construction of Bayesian network model is the primary *** actual fault diagnosis system of steam turbine containing redundancy and uncertain information,proposed attribute reduction method to fault feature,obtained the minimal diagnosis *** on two-node union reverse inference,proposed an improved program in the construction of Bayesian *** Bayesian network model based on the minimum fault decision table can effectively reduce the complexity of the network structure,while the using of improved Bayesian network can further reduce complexity of structure and improve the diagnosis ***,the effectiveness and fastness of this method are validated by the result of practical fault diagnosis example in Bently-RK4 rotor vibration bench.