小波分析在传感器故障诊断中的应用  

Application of Wavelet Analysis in Fault Diagnosis for Sensor

作　　者：李思远[1] 闫建国[1] 

机构地区：[1]西北工业大学自动化学院,陕西西安710129

出　　处：《计算机测量与控制》2011年第4期772-775,共4页Computer Measurement &Control

摘　　要：为提高飞机燃油系统中传感器的有效性,对基于小波分析的传感器故障诊断方法进行了改进;该方法通过对传感器输出信号进行小波多分辨分析(MRA)能对缓变故障和突变故障进行准确定位,同时根据故障奇异点的模极大值和各尺度下故障前后能量变化特征实现对故障类型的判别;利用LabVIEW设计了传感器智能故障诊断系统,利用试验中采集的数据成功实现对飞机燃油系统油位传感器几种典型故障的诊断,证明该方法的有效性。For the purpose of increasing the effectiveness of sensors in aircraft fuel system,the method based on the wavelet analysis of sensor fault diagnosis was improved.With this method,by Multi-Resolution Analysis（MRA） the sensor＇s output signals,the time and location of drift failure and abrupt fault occurred can be accurately detected,meanwhile,fault diagnosis can be finished according to the modulus maximum of fault singularity and energy variation characteristics on all decomposed wavelet scales of the signal before and after the time fault occurred.Then design intelligent sensor fault diagnosis system based on LabVIEW,by using the data collected in test,we successfully realize several typical fault diagnosis in oil level sensor of aircraft fuel system,this indicates the effectiveness of the method.

关 键 词：飞机燃油系统 小波多分辨率分析 能量变化 故障诊断 

分 类 号：TH873.7[机械工程—仪器科学与技术]