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Fault Diagnosis of Linear Discrete Time-Varying System with Multiplicative Noise Based on Parity Space Method

机译:基于奇偶空间法的线性离散时变系统乘性噪声故障诊断

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摘要

The paper is concerned with the fault diagnosis problem for linear discrete time-varying (LDTV) system with multiplicative noise. A new criteria represented by expectations of relevant matrices is presented to design the parity vector. The process of searching the optimal parity vector is transformed into solving a minimization problem. The optimal parity vector is confirmed as an eigenvector of two matrices whose expressions are also given. Based on Randomized Algorithms (RA), two kinds of methods to set appropriate threshold is discussed. Simulation result is given to demonstrate the effectiveness of the proposed method in the end.
机译:本文涉及具有乘性噪声的线性离散时变(LDTV)系统的故障诊断问题。提出了由相关矩阵的期望值表示的新标准来设计奇偶校验矢量。搜索最佳奇偶矢量的过程被转换为解决最小化问题。最佳奇偶校验向量被确认为两个矩阵的特征向量,它们的表达式也都给出了。基于随机算法(RA),讨论了两种设置适当阈值的方法。最后通过仿真结果证明了该方法的有效性。

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