[1]黄丽琴,赵红红,刘 辉,等.基于层次故障树的闸门健康状态评估系统研究[J].湖北工业大学学报,2019,34(2):22-27.
 HUANG Liqin,ZHAO Honghong,LIU Hui,et al. Research on Health Condition Assessment System Based on Hierarchical Fault Tree[J].,2019,34(2):22-27.
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基于层次故障树的闸门健康状态评估系统研究()
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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:
22-27
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 Health Condition Assessment System Based on Hierarchical Fault Tree
文章编号:
1003-4684(2019)02-0022-06
作者:
黄丽琴1 赵红红2 刘  辉3 许鹤鹏1 孙  杰1 徐建文2 万英杰3 陈启明2
1 国网新源水电有限公司富春江水力发电厂, 浙江 桐庐 311504;
2 武汉四创自动控制技术有限责任公司, 湖北 武汉 430065;
3 湖北工业大学电气与电子工程学院, 湖北 武汉 430068
Author(s):
HUANG Liqin1 ZHAO Honghong2  LIU Hui3 XU Hepeng1 SUN Jie1 XU Jianwen2  WAN Yingjie3 CHEN Qiming2
1 The Fuchun River Power Plant, Tonglu 311504,China;
2 Wuhan four Chuang Automatic Control Technology Co., Ltd., Wuhan 430070,China;
3 School of Electrical and Electronic Engineering, Hubei Univ. of Tech.,Wuhan 430068,China
关键词:
泄洪闸门 健康状态评估 层次故障树 可追溯Petri网 ANSYS应力仿真
Keywords:
flood gate health condition assessment hierarchical fault tree traceability Petri net ANSYS stress simulation
分类号:
TV732.6
文献标志码:
A
摘要:
为了完整而准确的对泄洪闸门进行健康状态评估,以层次故障树为基础构建的闸门健康状态监测与诊断体系,故障树分为五层,除第一层外,每层之间的联系采用可追溯Petri网形式完成,在故障逻辑判断的同时记录判断路径信息。在闸门出现非健康状态的情况下,给出报警信息的同时采用回溯搜索算法,寻找出现数据异常的传感器或数据流,从而判断出故障产生的原因,针对性给出有效建议和可行性决策并发出提示信息。
Abstract:
In order to grasp the health status of the spillway gates of hydropower plants and to judge the fault location under the unhealthy condition of the gates, it is necessary to monitor and analyze the structural deformation and physical stress changes during the gates operate. It is impossible to assess the health status of a gate by monitoring a site alone or judging a part alone. The gate health monitoring and diagnosis system is based on hierarchical fault tree. Fault tree is divided into five layers. Except the first layer, the relationship between each layer is completed by traceable Petri net, which records the judgment path information while completing the fault logic judgment. When the gate is in a non-healthy state, the backtracking search algorithm is used to find the sensor or data stream with abnormal data, so as to determine the cause of the fault, and give effective suggestions and feasible decision-making and give prompt information.

参考文献/References:

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备注/Memo

备注/Memo:
[收稿日期] 2018-11-23
[第一作者] 黄丽琴(1968-), 女,浙江杭州人,国网新源水电有限公司工程师,研究方向为电力系统自动化
更新日期/Last Update: 2019-11-29