A NEW APPROACH OF SIMULTANEOUS FAULTS DIAGNOSIS BASED ON RANDOM SETS AND DSMT  

作　　者：Li Zhiliang Xu Xiaobin Wen Chenglin 

机构地区：[1]Institute of Information and Control, Hangzhou Dianzi University, Hangzhou 310018, China

出　　处：《Journal of Electronics(China)》2009年第1期24-30,共7页电子科学学刊（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No.60434020, No.60772006);the Zhejiang Natural Science Foundation (R106745, Y1080422)

摘　　要：Simultaneous faults often occur in running equipments, in order to solve the problems of the simultaneous faults, a new approach based on random sets and Dezert-Smarandache Theory (DSmT) is proposed in this paper. Firstly, the simultaneous faults' model is built based on the generalized frame of discernment in DSmT. Secondly, according to the unified description of combination rules in evidence reasoning based on random sets, a new combination rule for simultaneous faults diagnosis is proposed. Thirdly, according to the working characteristics and environment of the sensors used to acquire fault characteristic information, a new method to construct basic probability assignment function is pro- posed based on membership. Finally, diagnosis result is obtained by use of the new combination rule combined with decision rules. A case pertaining to the fault diagnosis for a multi-function rotor test-bed is given, and the result shows that the proposed diagnosis approach is feasible and efficient.Simultaneous faults often occur in running equipments, in order to solve the problems of the simultaneous faults, a new approach based on random sets and Dezert-Smarandache Theory （DSmT） is proposed in this paper. Firstly, the simultaneous faults＇ model is built based on the generalized frame of discernment in DSmT. Secondly, according to the unified description of combination rules in evidence reasoning based on random sets, a new combination rule for simultaneous faults diagnosis is proposed. Thirdly, according to the working characteristics and environment of the sensors used to acquire fault characteristic information, a new method to construct basic probability assignment function is proposed based on membership. Finally, diagnosis result is obtained by use of the new combination rule combined with decision rules. A case pertaining to the fault diagnosis for a multi-function rotor test-bed is given, and the result shows that the proposed diagnosis approach is feasible and efficient.

关 键 词：Random sets Dezert-Smarandache Theory （DSmT） Basic probability assignment Simultaneous fault DIAGNOSIS 

分 类 号：TP206.3[自动化与计算机技术—检测技术与自动化装置]