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文章摘要
基于模糊Petri网的用电信息采集系统故障诊断方法
Fault diagnosis method of power consumption information collection system based on fuzzy Petri nets
Received:April 25, 2018  Revised:April 25, 2018
DOI:
中文关键词: 模糊Petri网  用电信息采集系统  专家系统  故障诊断
英文关键词: fuzzy Petri net, power consumption information acquisition system, expert system, fault diagnosis
基金项目:中国博士后科学基金,国家自然科学基金项目,中央高校基本科研业务费专项资金项目
Author NameAffiliationE-mail
xuezheng wuhan university xuezheng1994@sina.com 
sunyong Electric Power Research Institute of Guangdong Power Grid Corporation 13100974430@163.com 
dongzhengcheng wuhan university 786355390@qq.com 
fangyanjun* wuhan university yjfang@whu.edu.cn 
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中文摘要:
      采用一种模糊Petri网理论与专家系统结合的方法对用电信息采集系统整体进行故障诊断,提高了用电信息采集系统故障诊断的效率。根据用电信息采集系统故障逻辑关系,结合Petri网建模方法,建立模糊故障Petri网模型。通过逆向推理的方法,实现系统运行状态的准确评价。最后结合实例对故障诊断的推理过程进行了验证,证明了该方法的可靠性和合理性。
英文摘要:
      A method of combining fuzzy Petri net theory with expert system is applied to diagnose faults in power consumption information acquisition system, and the efficiency of fault diagnosis of power consumption information acquisition system is improved. According to the fault logic relationship of power consumption information acquisition system, combined with the Petri net modeling method, the fuzzy fault Petri net model is established. Through the reverse reasoning method, the accurate assessment of the system operating status is realized. Finally, the inference process of fault diagnosis is verified with an example. This proves the reliability and rationality of the method.
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