[1]邹琪骁,刘 辉,姜晓彤,等.基于模糊Petri网的船闸故障诊断模型研究[J].湖北工业大学学报,2019,34(2):28-31.
　ZOU Qixia,LIU Hui,JIANG Xiaotong,et al.Research on Single-stage Lock Control System based on Fuzzy Petri Net[J].,2019,34(2):28-31.
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基于模糊Petri网的船闸故障诊断模型研究()
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《湖北工业大学学报》[ISSN:1003-4684/CN:42-1752/Z]

卷:
34卷
期数:
2019年第2期
页码:
28-31
栏目:
湖北工业大学学报
出版日期:
2019-04-30

文章信息/Info

Title:
Research on Single-stage Lock Control System based on Fuzzy Petri Net
文章编号:
1003-4684(2019)02-0028-04
作者:
邹琪骁1;  刘  辉1;  姜晓彤1;  李青峰2;  孙  杰2;  陈启明3; 赵红红3
1 湖北工业大学电气与电子工程学院， 湖北 武汉 430068；
2 国网新源水电有限公司富春江水力发电厂 浙江 桐庐 311504；
3 武汉四创自动控制技术有限责任公司, 湖北 武汉 430065
Author(s):
ZOU Qixia1; LIU Hui1;  JIANG Xiaotong1; LI Qingfeng2; SUN Jie2; CHEN Qiming3; ZHAO Honghong3
1 School of Electrical and Electronic Engin.，Hubei university of technology ，Wuhan 430068，China;
2 China National Network Xinyuan Hydropower Co., Ltd.,Fuchunjiang Hydroelectric Power Plant，Tonglu 311504，China;
3 Wuhan Sichuang Automatic Control Technology Co., Ltd.,Wuhan 430068，China
关键词:
船闸系统;  分布式控制;  模糊Petri网;  故障诊断
Keywords:
Lock system;  Distributed control;  Fuzzy Petri net;  Fault diagnosis
分类号:
TN913.7
文献标志码:
A
摘要:
为提高船闸系统的协调性与实时性，建立高精度的船闸故障诊断系统，使用具有更强推理性的Petri网对船闸系统进行建模，分析其各点状态从而能对船闸状态有更好的了解，使控制及检修策略更具有针对性。算例分析证明该方法实现了网络的数据关联分析，提高了故障诊断的快速准确性。
Abstract:
Lock control system is a typical distributed control system with good flexibility and coordination. However, distributed control system has hysteresis effect in diagnosis and treatment, which has a great negative effect on lock state control. Therefore, it is necessary to improve the coordination and timeliness of lock system. In this paper, Petri net with stronger reasoning power is used to model the lock system, and the state of each point can be analyzed to have a better understanding of the lock state and make the actions more targeted. The example analysis also proves that this method realizes the network data association analysis and improves the accuracy of fault diagnosis.

参考文献/References:

[1] 师海风.基于神经网络的北溪南港船闸故障诊断专家系统研究[M].福州：福州大学，2003.
[2] 冒刘燕.基于可靠性理论的内河船闽维修决策研巧[D].南京：东南大学，2015.
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[7] Liu H C, You J X, Tian G. Determining truth degrees of input places in fuzzy petri nets[J]. IEEE Transactions on Systems Man & Cybernetics Systems, 2016, (99):1-7.
[8] Gong M, Zhang Y, Liu Y, et al. Fault diagnosis of power transformers based on back propagation algorithm evolving fuzzy Petri nets[J]. Power System Protection & Control, 2015, 43(3):113-117. 
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备注/Memo

备注/Memo:
［收稿日期］ 2018-11-20
［第一作者］ 邹琪骁(1995-)， 男， 湖北武汉人，湖北工业大学硕士研究生，研究方向为电力系统及其自动化人，
［通信作者］ 刘    辉(1962-)， 男，湖北武汉人，理学博士，湖北工业大学教授，研究方向为电气工程
更新日期/Last Update: 2019-11-29