Fault Diagnosis for Navigational Sensors Based on Modulated Gaussian Wavelet Transformation
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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.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.
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[1] Daubechies I The wavelet transform, time-frequency localization and signal analysis[J] IEEE Transactions on Information Theory, 1990,36(5):961~970. [2]Daubechies I. Ten lectures on wavelets [M]. Montpelier:Capital City Press, 1992. [3]张 河,张 庆. 调频高斯小波变换及其程序[J]. 信号处理,1997,13(3):221~226. -
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