摘要
针对主冷却泵长期工作在高温、高压及高辐射的恶劣工作环境中,其并发故障存在较高概率并难以诊断,提出一种DSmT决策级融合算法,构建了泵主轴转子不平衡、泵主轴转子不对中及主轴损坏的DSmT辨识理论框架,由实测采集数据综合确定DSmT故障特征信度赋值,利用DSmT对多个独立证据源进行决策判断得出主冷却剂泵故障及并发故障的诊断结果.实验结果表明该方法能有效识别主冷却剂泵并发故障特征,具有一定的理论基础及工程应用价值.
For the coolant pump working in high temperature,high pressure and high radiation for a long time in hostile work environment,and its concurrent fault in high probability,a method of DSmT on Decision Level was provided to solve main coolant pump concurrent fault diagnosis problems,and a DSmT identification theory frame for pump rotor imbalance,pump rotor misalignment and spindle damage was built.Then,by using actual measurement data synthetically,DSmT fault features reliability assignment was determined by judging multiple independent evidence sources by DSmT,and then,the diagnosis of main coolant pump failure and its concurrent fault was calculated.The experiment results show that the proposed method can effectively identify the main coolant pump concurrent fault characteristics,and it has some theoretical and engineering application value.
出处
《湖南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2015年第2期35-39,59,共6页
Journal of Hunan University:Natural Sciences
基金
国家自然科学基金资助项目(51379046)~~
关键词
DSmT(中文全称)
并发故障
信息融合
故障识别
Dezert-Smarandache theory（DSmT）
concurrent fault
information fusion
fault identification
