电工技术学报  2018, Vol. 33 Issue (11): 2535-2544    DOI: 10.19595/j.cnki.1000-6753.tces.170533
电力系统 |
基于神经模糊Petri网的高压断路器故障诊断研究
程学珍1,2, 朱晓林1,2, 杜彦镔1,2, 王程1,3, 曹茂永1,2
1.山东科技大学矿山灾害预防控制省部共建国家重点实验室培育基地 青岛 266590;
2.山东科技大学电气与自动化工程学院 青岛 266590;
3.国网山东省电力公司日照供电公司 日照 276800
High Voltage Circuit Breaker Fault Diagnosis Based on Neural Fuzzy Petri Nets
Cheng Xuezhen1,2, Zhu Xiaolin1,2, Du Yanbin1,2, Wang Cheng1,3, Cao Maoyong1,2
1. State Key Laboratory of Mining Disaster Prevention and Control Co-Founded by Shandong Province and the Ministry of Science and Technology Shandong University of Science and Technology Qingdao 266590 China;
2.College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao 266590 China;
3. State Grid Shandong Electric Power Company Rizhao Power Supply Company Rizhao 276800 China
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摘要 为提高高压断路器运行的稳定性,该文借助Petri网的强大的知识表达和逻辑推理功能对高压断路器的状态进行评估和诊断。根据断路器的物理逻辑关系,构建了基于神经模糊Petri网的高压断路器故障诊断模型;采用失效模式与效应分析(FMEA)法对故障统计数据进行处理,求取库所置信度、变迁阈值、库所权值、规则可信度;优化正向推理算法,实现对高压断路器故障的准确预测;逆向推理结合最小割集可有效避免检修的盲目性。最后,以部分模型为例,进行推理分析,并通过故障树和统计数据来验证推理模型的正确性和合理性。
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关键词 神经模糊Petri网高压断路器故障诊断矩阵推理神经网络算法    
Abstract:In order to improve the stability of high voltage circuit breaker, this paper evaluates and diagnoses the state of high voltage circuit breaker by Petri net theory, for its powerful knowledge expression and logic inference function. According to the logic relationship of the circuit breaker, a fault diagnosis model of high voltage circuit breaker based on Petri is constructed; The failure mode and effect analysis(FMEA) method is used to deal with the fault statistics, and the credibility of place,threshold of transition, weight of place and credibility of transition; Optimize the forward inference algorithm to achieve accurate prediction of high voltage circuit breaker failure; Inverse inference combined with the minimum cut set can effectively avoid the blindness of maintenance. Finally, the part of model is used to deduce and analyze,the correctness and rationality of the reasoning model are verified by the fault tree and the data of statistics.
Key wordsNeural fuzzy Petri net    high voltage circuit breaker    troubleshoot    matrix inference    neural network algorithm   
收稿日期: 2017-04-28      出版日期: 2018-06-13
PACS: TM561  
基金资助:国家自然科学基金项目(61503224)、中国博士后科学基金项目(2014M551934)和山东省重点研发计划项目(No.2016GSF117009)资助
通讯作者: 曹茂永 男,1964年生,教授,博士生导师,研究方向为监测监控技术、图象处理等。E-mail:my-cao@263.net   
作者简介: 程学珍女,1964年生,教授,博士生导师,研究方向为电力系统及其自动化。E-mail:zhenxc6411@163.com
引用本文:   
程学珍, 朱晓林, 杜彦镔, 王程, 曹茂永. 基于神经模糊Petri网的高压断路器故障诊断研究[J]. 电工技术学报, 2018, 33(11): 2535-2544. Cheng Xuezhen, Wang Cheng, Cao Maoyong. High Voltage Circuit Breaker Fault Diagnosis Based on Neural Fuzzy Petri Nets. Transactions of China Electrotechnical Society, 2018, 33(11): 2535-2544.
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https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.170533          https://dgjsxb.ces-transaction.com/CN/Y2018/V33/I11/2535