基于层次故障树的闸门健康状态评估系统研究

Research on Health Condition Assessment System Based on Hierarchical Fault Tree

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。

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 apart 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.