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Fault Detection and Isolation in Inertial Measurement Units Based on x~2-CUSUM and Wavelet Packet

机译：基于x〜2-CUSUM和小波包的惯性测量单元故障检测与隔离

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摘要

The aim of this paper is to present a fault detection algorithm (FDI) based on signal processing techniques developed for an inertial measurement unit (IMU) with minimal redundancy of fiber optic gyros. In this work the recursive median filter is applied in order to remove impulses (outliers) arising from data acquisition process and parity vector operations, improving the fault detection and isolation performance. The FDI algorithm is divided into two blocks: fault detection (FD) and fault isolation (FI). The FD part of the algorithm is used to guarantee the reliability of the isolation part and is based on parity vector analysis using x~2 -CUSUM algorithm. The FI part is performed using parity space projection of the energy subbands obtained from wavelet packet decomposition. This projection is an extension of clustering analysis based on singular value decomposition (SVD) and principal component analysis (PCA). The results of the FD and FI algorithms have shown the effectiveness of the proposed method, in which the FD algorithm is capable of indicating the low-level step bias fault with short delay and a high index of correct decisions of the FI algorithm also with low-level step bias fault.
机译：本文的目的是提出一种基于信号处理技术的故障检测算法（FDI），该技术是为惯性测量单元（IMU）开发的，具有最小的光纤陀螺冗余度。在这项工作中，应用递归中值滤波器以消除数据采集过程和奇偶矢量操作产生的脉冲（异常值），从而改善故障检测和隔离性能。 FDI算法分为两个模块：故障检测（FD）和故障隔离（FI）。该算法的FD部分用于保证隔离部分的可靠性，它基于使用x〜2-CUSUM算法的奇偶矢量分析。利用从小波包分解获得的能量子带的奇偶性空间投影来执行FI部分。该预测是基于奇异值分解（SVD）和主成分分析（PCA）的聚类分析的扩展。 FD和FI算法的结果表明了所提方法的有效性，其中FD算法能够以低延迟指示低电平步进偏差故障，同时以较低的速度指示FI算法的正确决策指标。级步进偏置故障。

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  • 来源
    《Mathematical Problems in Engineering》 |2013年第14期|869293.1-869293.10|共10页
  • 作者

    Elcio Jeronimo de Oliveira; Ijar Milagre da Fonseca; He1io Koiti Kuga;

  • 作者单位

    Space Systems Division, Institute of Aeronautics and Space, 12228-904 Sao Jose dos Campos, SP, Brazil;

    Space Mechanics and Control Division, National Institute for Space Research, 12227-010 Sao Jose dos Campos, SP, Brazil,UNINOVE/Comvuter Science and Production Engineering, 01504-001 Sao Paulo, SP, Brazil;

    Space Mechanics and Control Division, National Institute for Space Research, 12227-010 Sao Jose dos Campos, SP, Brazil;

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