手动截止阀动作可靠性高效验证与状态识别方法研究  

Research on Efficient Verification and State Recognition Method for the Action Reliability of Manual Globe Valve

作　　者：周苏婷 张林[1] 聂常华[1] 范文宇涛 黄彦平[1] 刘杰[1] 袁凯 Zhou Suting;Zhang Lin;Nie Changhua;Fan Wenyutao;Huang Yanping;Liu Jie;Yuan Kai(Nuclear Power Institute of China,Chengdu,610213,China)

机构地区：[1]中国核动力研究设计院,成都610213

出　　处：《核动力工程》2024年第4期190-195,共6页Nuclear Power Engineering

摘　　要：手动截止阀作为回路系统的典型阀门,是维持系统运行和保护系统安全的重要设备。为高效验证核级手动截止阀的动作可靠性,准确量化地判别其运行状态,本文研究建立了手动截止阀一体化动作试验智能装置,并提出了一种基于小波包分解和支持向量机(SVM)方法相结合的手动截止阀状态识别方法,该方法首先以力矩信号作为特征曲线,利用小波包分解技术提取其时频域特征,融合时域特征构建时域-时频域的混合特征向量;其次采用主成分分析(PCA)方法对特征向量进行降维分析,获取故障特征向量;最后采用支持向量机(SVM)方法对阀门动作状态进行判别。研究结果表明,本研究所建立的装置有效解决了手动截止阀动作可靠性验证耗时长、效率低以及动作过程状态难以量化评估的问题,所提方法能够准确有效地识别阀门的3种动作状态。As a typical valve in primary system,manual globe valve is of great importance to maintain system operation and protect system safety.In order to verify the action reliability of the nuclear-grade manual globe valve and determine its operation state accurately and quantitatively,this paper studies and establishes an integrated intelligent operation device for manual globe valve action test,and proposes a method for identifying the state of the manual globe valve based on the combination of wavelet packet decomposition and support vector machine(SVM).Firstly,the torque signal is employed as the characteristic curve and the wavelet packet decomposition technique is utilized to extract the time-frequency domain features.The time domain and time-frequency domain features are integrated to construct the hybrid feature vector.Secondly,the Principal Component Analysis(PCA)is used to perform the dimensionality reduction analysis on the feature vectors to obtain fault feature vectors.Finally,the support vector machine(SVM)method is employed to identify the action state of valve.The results shows that the device constructed in this study solves the problems of long time-consuming and low efficiency in verifying the reliability of manual globe valve actions,as well as the difficulty in quantifying the evaluation of the action process.The proposed method can identify the three action states of the valve accurately and efficiently.

关 键 词：手动截止阀 动作可靠性 状态识别 小波包分解 主成分分析(PCA) 支持向量机(SVM) 

分 类 号：TL353.11[核科学技术—核技术及应用]