基于EMD与邻域粗糙集的液体电磁阀故障诊断  

Liquid solenoid valve fault diagnosis based on EMD and neighborhood rough set

作　　者：谭洋波[1] 程进军[1] 刘帅[1] TAN Yangbo;CHENG Jinjun;LIU Shuai(Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi-an 710038, China)

机构地区：[1]空军工程大学航空航天工程学院,西安710038

出　　处：《计算机工程与应用》2017年第12期255-260,270,共7页Computer Engineering and Applications

摘　　要：液体电磁阀的故障诊断是保证飞行器动力系统正常工作、实现故障快速定位的重要手段。为了对液体电磁阀进行检测与诊断,提出了一种基于经验模态分解(EMD,Empirical Mode Decomposition)与邻域粗糙集相结合的新方法。首先对电磁阀的结构、故障形式、故障机理进行了分析,通过采集电磁阀正常、弹簧失效、阀芯卡滞、线圈异常、电气短路五种状态的驱动端电流信号,对不同状态的电流进行了分析。针对电流稳态长度难以控制,EMD分解获得的本征模态函数(IMF,Intrinsic Mode Function)分量的能量熵存在不一致的特点,选用电流变化率作为特征对其进行EMD分解。引入数据挖掘思想,采用邻域粗糙集构造贪心式属性约简算法进行属性约简,将约简后的属性集输入所设计的C4.5决策树算法,经过训练,其诊断准确率达到98%。研究结果表明:该方法能够实现液体电磁阀的快速诊断,具有一定的应用价值。Fault diagnosis of the liquid solenoid valve is the effective measure to ensure the normal operation of aircraftpower system and achieve rapid fault location.A new method based on Empirical Mode Decomposition(EMD)andneighborhood rough set is proposed for the liquid solenoid valve detection and diagnosis.Firstly,the structure,fault mode,fault mechanism of the liquid solenoid valve are analyzed,then the five conditions of the solenoid valve driving currentsignal are collected,including normal state,spring failure state,valve spool stuck state,coil anomaly state and electricalshort circuit.Afterwards,the current characteristics of different states are analyzed.To resolve the problem of controllingdifficulty that exists in the current steady state length,and the incontinuity of energy-entropy of the Intrinsic Mode Function(IMF)which is obtained by the EMD,the current rate of change is chosen as the characteristic to carry out EMDdecomposition.Introducing the concept of data mining,a greedy attribute reduction algorithm is constructed using neighborhoodrough sets to reduce attribution,then a diagnosis classifier is designed based on C4.5decision tree by which thesamples are trained.As a result,the diagnosis accuracy rate has reached98%.The results show that this method can realizethe fault diagnosis of the solenoid valve and have high application value.

关 键 词：经验模态分解(EMD) 邻域粗糙集 驱动端电流 C4.5决策树 能量熵 故障诊断 属性约简 

分 类 号：TP391.5[自动化与计算机技术—计算机应用技术]