基于小波分析的传感器故障检测研究  

Sensor Fault Detection Based on Wavelet Analysis

作　　者：缑林峰[1] 王镛根[1] 

机构地区：[1]西北工业大学动力与能源学院,陕西西安710072

出　　处：《计算机仿真》2007年第11期13-16,共4页Computer Simulation

摘　　要：针对航空发动机控制系统传感器故障检测在强噪声环境下易误报的问题,设计了基于模极大值原理的传感器故障检测方法。首先介绍基于小波奇异性进行故障检测的基本原理,之后根据信号和噪声奇异指数不同的特点判断噪声模极大值。对传感器典型故障,给出基于模极大值原理的传感器故障检测算法,并根据小波变换模极大值在不同尺度下的分布来完成故障的检测。通过某型涡扇发动机控制系统传感器故障检测仿真实验表明,小波变换能很好地刻画信号的奇异性特征,该滤波算法消噪效果明显,故障检测准确度高。In view of the problem that aero engine control system sensor fault detection easily causes mistake in strong noise condition, this paper designs a sensor fault detection method based on modulus maxima. The theory of detecting fault by wavelet singularity is first introduced, then the modulus maxima caused by noise is determined according to the Lipschitz. The detection algorithm based on modulus maxima theory for typical sensor fault is given, and the fault detection is simulated using wavelet modulus. The simulation results of turbofan engine control system sensor fault show that the character of singularity can be described strictly by wavelet transform, and this method is effective on dliminating noise.

关 键 词：航空发动机 故障检测 小波分析 奇异性 模极大值 

分 类 号：TP206.3[自动化与计算机技术—检测技术与自动化装置]