摘要
针对核级闸阀卡滞故障,提出一种基于运行过程变量特征分析的闸阀故障诊断方法。闸阀开关运行过程往往包含故障特点及变化规律,因此该方法首先利用Shannon熵对闸阀开关过程振动信号功率谱进行信息化度量,计算出功率谱熵均值作为目标过程变量,分析闸阀健康情况下和故障情况下的目标过程变量的特征变化,进而划分故障区域和非故障区域,对闸阀进行故障诊断。最后基于核级闸阀实验,对该方法进行实验验证,结果表明该方法能够有效地诊断出核级闸阀故障,并且该方法具有一定的故障预测能力。因此该方法的使用能够降低因为闸阀卡滞故障造成的核设施事故发生概率,同时该方法能够用于其他领域闸阀故障诊断。
Aiming at the sticking fault of nuclear gate valve,a fault diagnosis method of gate valve based on characteristic analysis of operation process variables is proposed.The operating process of gate valve opening and closing often contains fault characteristics and changing rules.Therefore,this method first uses Shannon entropy to measure the vibration signal power spectrum of gate valve opening and closing process,calculates the mean value of power spectrum entropy as the target process variable,analyzes the characteristic changes of target process variables under the condition of gate valve health and fault degree,and then divides the fault area and non-fault area for gate valve fault diagnosis.Finally,based on the nuclear gate valve experiment,this method is experimentally verified.The results show that this method can effectively diagnose the fault of nuclear gate valve,and has a certain fault prediction ability.Therefore,the use of this method can reduce the probability of nuclear facility accidents caused by the sticking fault of the gate valve,and at the same time,this method can be applied to the fault diagnosis of the gate valve in other fields.
作者
刘志龙
李曈希
聂常华
湛力
唐樟春
刘杰
Liu Zhilong;Li Tongxi;Nie Changhua;Zhan Li;Tang Zhangchun;Liu Jie(Nuclear Power Institute of China,Chengdu,610213,China;University of Electronic Science and Technology of China,Chengdu,611731,China;Guangdong Institute of Information Engineering,University of Electronic Science and Technology of China,Dongguan,Guangdong,523000,China)
出处
《核动力工程》
EI
CAS
CSCD
北大核心
2022年第2期171-174,共4页
Nuclear Power Engineering
基金
国家自然科学基金面上项目(51875087)
广东省基础与应用基础研究基金(2019A1515011708)。
关键词
核级闸阀
故障诊断
信息化度量
目标过程变量
功率谱熵
Nuclear gate valve
Fault diagnosis
Informatization measurement
Target process variable
Power spectrum entropy