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基于调频高斯小波变换的导航传感器故障诊断
引用本文:翁海娜,房建成,杨功流,张振鹏.基于调频高斯小波变换的导航传感器故障诊断[J].北京航空航天大学学报,2002,28(4):477-480.
作者姓名:翁海娜  房建成  杨功流  张振鹏
作者单位:1. 北京航空航天大学宇航学院;2. 清华大学精仪系
摘    要:为提高多传感器组合导航系统对各导航传感器的在线故障检测能力,在分析调频高斯小波特性的基础上,提出了一种基于调频高斯小波变换的导航传感器故障诊断算法.该算法仅利用传感器的观测量来直接诊断传感器工作是否正常.它可以对方差突变等软故障进行有效的在线检测.仿真结果证明了所提方法的有效性.

关 键 词:组合导航  故障诊断  算法  调频高斯小波变换
文章编号:1001-5965(2002)04-0477-04
收稿时间:2001-12-24
修稿时间:2001年12月24日

Fault Diagnosis for Navigational Sensors Based on Modulated Gaussian Wavelet Transformation
WENG Hai-na,FANG Jian-cheng,YANG Gong-liu,ZHANG Zhen-peng.Fault Diagnosis for Navigational Sensors Based on Modulated Gaussian Wavelet Transformation[J].Journal of Beijing University of Aeronautics and Astronautics,2002,28(4):477-480.
Authors:WENG Hai-na  FANG Jian-cheng  YANG Gong-liu  ZHANG Zhen-peng
Institution:1. Beijing University of Aeronautics and Astronautics, School of Astronautics;
2. Tsinghua University, Dept. of Precision Instruments
Abstract:In order to improve the online fault-detecting capability of multi-sensor integrated navigation system, a MGWT-based fault diagnosis algorithm for navigation sensors was presented based on analysis of characteristics of modulated Gaussian wavelet (MGW). With this method, the effectiveness of each sensor can be directly detected by using the observing variables of the sensors. Some soft faults (such as the anomaly of covariance) can be detected online. Simulation result proved the effectiveness of this method.
Keywords:combinated navigation  fault diagnosis  algorithms  modulated Gaussian wavelet transformation (MGWT)
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