基于模型与模糊Petri网融合的高铁牵引变压器故障诊断

针对基于模型诊断方法（Model-based Diagnosis,MBD）存在的处理不确定性和组件间的关联关系方面的问题,基于互补融合的思想,将模糊Petri网与MBD有机结合在一起,提出了一种高速铁路牵引变压器外部故障和内部故障诊断的新方法。建立牵引变压器结构和功能的两层模型,通过离线搜索最小冲突候选集和在线识别最小冲突集,实现牵引变压器的外部故障诊断。对于内部故障的诊断,采用MBD进行牵引变压器故障元件定位,利用模糊Petri网进行区域知识表示,推理实现内部故障类型诊断。以武广高速三相V/x接线牵引变压器故障数据为实例进行分析,诊断结果验证了MBD与模糊Petri网融合的牵引变压器故障诊断...

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Bibliographic Details
Published in电力系统保护与控制 Vol. 44; no. 11; pp. 26 - 32
Main Author 戴晨曦 刘志刚 胡轲珽 高松
Format Journal Article
LanguageChinese
Published 西南交通大学电气工程学院,四川 成都,610031 2016
Subjects
基于模型诊断
故障诊断
模糊Petri网
牵引变压器
高速铁路
fault diagnosis
牵引变压器
故障诊断
高速铁路
high-speed railway
模糊 Petri 网
基于模型诊断
model-based diagnosis
fuzzy Petri nets
traction transformer
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Summary:针对基于模型诊断方法（Model-based Diagnosis,MBD）存在的处理不确定性和组件间的关联关系方面的问题,基于互补融合的思想,将模糊Petri网与MBD有机结合在一起,提出了一种高速铁路牵引变压器外部故障和内部故障诊断的新方法。建立牵引变压器结构和功能的两层模型,通过离线搜索最小冲突候选集和在线识别最小冲突集,实现牵引变压器的外部故障诊断。对于内部故障的诊断,采用MBD进行牵引变压器故障元件定位,利用模糊Petri网进行区域知识表示,推理实现内部故障类型诊断。以武广高速三相V/x接线牵引变压器故障数据为实例进行分析,诊断结果验证了MBD与模糊Petri网融合的牵引变压器故障诊断方法的可行性和有效性。
Bibliography:DAI Chenxi, LIU Zhigang, HU Keting, GAO Song （School of Electric Engineering, Southwest Jiaotong University, Chengdu 610031, China）
model-based diagnosis; fuzzy Petri nets; traction transformer; fault diagnosis; high-speed railway
41-1401/TM
The problem with regard to the uncertainty and the relationship between the components exists in the model-based diagnosis method. Aiming at this issue, based on the idea of complementary integration, this paper proposes a method of mode-based diagnosis combining with fuzzy Petri Nets to diagnose traction transformer. For the external faults of the traction transformer, the model-based method is directly implemented to build a two-layer model based on the structure and function using voltage and current as variables. The minimal conflict set candidates and the minimal conflict sets are introduced by offline search and on-line recognition to realize the diagnosis. For the internal faults of the traction transformer, the model-based method is implemented to obtain the fault co
ISSN:1674-3415
DOI:10.7667/PSPC151181