Dynamic Group Decision-making Fault Diagnosis Method Based on Bayesian Network and TOPSIS

China Mechanical Engineering ›› 2013, Vol. 24 ›› Issue (16): 2235-2241.

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Dynamic Group Decision-making Fault Diagnosis Method Based on Bayesian Network and TOPSIS

Yao Chengyu1;Chen Dongning2,3;Feng Zhongkui1;Lü Shijun2,3

1.Key Lab of Industrial Computer Control Engineering of Hebei Province,Yanshan University,Qinhuangdao,Hebei,066004
2.Key Lab of Heavy Machinery Fluid Power Transmission and Control of Hebei Province,Yanshan University,Qinhuangdao,Hebei,066004
3.Key Laboratory of Advanced Forging & Stamping Technology and Science(Yanshan University),
Ministry of Education of China,Qinhuangdao,Hebei,066004

Online:2013-08-25 Published:2013-08-23
Supported by:

National Natural Science Foundation of China（No. 50905154）;

Hebei Provincial Natural Science Foundation of China（No. E2012203015）;

Hebei Provincial Scientific Research Project of Ministry of Education of China（No. ZH2012062）;
Key Technology R&D Program of Qinhuangdao（No. 2012021A078）

基于贝叶斯网络和理想解动态群决策的故障诊断方法

姚成玉1;陈东宁2,3;冯中魁1;吕世君2,3

1.燕山大学河北省工业计算机控制工程重点实验室,秦皇岛,066004
2.燕山大学河北省重型机械流体动力传输与控制重点实验室,秦皇岛,066004
3.先进锻压成形技术与科学教育部重点实验室(燕山大学),秦皇岛,066004

基金资助:
国家自然科学基金资助项目(50905154);河北省自然科学基金资助项目(E2012203015);河北省教育厅科研项目(ZH2012062);秦皇岛市科技支撑计划资助项目(2012021A078)
National Natural Science Foundation of China（No. 50905154）;

Hebei Provincial Natural Science Foundation of China（No. E2012203015）;

Hebei Provincial Scientific Research Project of Ministry of Education of China（No. ZH2012062）;
Key Technology R&D Program of Qinhuangdao（No. 2012021A078）

Abstract

Abstract:

To utilize multi-attribute information and previous results of fault search,a fault diagnosis method of dynamic group decision-making based on Bayesian network and TOPSIS was proposed.Hydraulic system of a concrete pump
distribution valve was given for illustration, the Bayesian network was established to calculate the root nodes' posterior probabilities and criticality importance.According to the information that the current diagnosis result was correct or not and the
influences on the next optimal search decision-making,a heuristic function was defined to obtain the value of heuristic information.
The root nodes' posterior probabilities,criticality importance and heuristic information values were considered comprehensively,and the group's ideal solution and
contrary ideal solution of search schemes were obtained by TOPSIS on the basis of
entropy weight,then the best fault search scheme was obtained.The previous fault
search results' influence on the current search scheme was considered,
then the best solution sequence of the fault search was obtained finally.
The limitations of single-attribute decision making and group decision-making are overcome,and the feasibility and efficiency of fault diagnosis are improved.

Key words: fault diagnosis, dynamic group decision-making, Bayesian network, technique for order preference by similarity to ideal solution(TOPSIS), concrete pump distribution valve

摘要：

为综合利用多属性信息和历次故障搜索结果反馈信息进行故障诊断,提出一种基于贝叶斯网络和理想解动态群决策的故障诊断方法。以砼泵分配阀液压系统为例,利用贝叶斯网络对系统进行分析并求解根节点的后验概率和关键重要度；根据本次诊断成功与否对下次最优搜索决策影响程度的大小,定义出启发函数求解启发式信息价值；考虑后验概率、关键重要度和启发式信息价值等因素,利用基于熵权的理想解法求取搜索方案的群体理想解和逆理想解,得到故障搜索最佳方案；考虑历次故障搜索最佳方案对当前搜索方案的影响,最终求得故障搜索的最佳方案序列。该方法克服了单属性决策和群决策方法的不足,提高了故障诊断的可行性和诊断效率。



关键词: 故障诊断, 动态群决策, 贝叶斯网络, 理想解法, 砼泵分配阀

CLC Number:

TH137.51

TAO Cheng-Yu-1, CHEN Dong-Ning-2, 3, FENG Zhong-Kuai-1, LV Shi-Jun-2, 3. Dynamic Group Decision-making Fault Diagnosis Method Based on Bayesian Network and TOPSIS[J]. China Mechanical Engineering, 2013, 24(16): 2235-2241.

姚成玉1, 陈东宁2, 3, 冯中魁1, 吕世君2, 3. 基于贝叶斯网络和理想解动态群决策的故障诊断方法[J]. 中国机械工程, 2013, 24(16): 2235-2241.

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Dynamic Group Decision-making Fault Diagnosis Method Based on Bayesian Network and TOPSIS

基于贝叶斯网络和理想解动态群决策的故障诊断方法

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