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Application of fully decoupled parity equation in fault detection and identification of DC motors

机译:完全解耦奇偶方程在直流电机故障检测与识别中的应用

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摘要

A multiple fault detection and identification method based on fully decoupled parity equations for dynamic systems with known linear and unknown nonlinear terms is presented. The fully decoupled parity equation vectors is derived and it is shown that the residuals generated from it are decoupled from other faults and the unknown nonlinear term and are sensitive only to specific actuator or sensor faults. The condition for the existence of the equation is also given. From the residuals generated from the fully decoupled parity equation, the faults are estimated using the recursive least-squares method. The performance of the proposed method is illustrated by applying it to detect, isolate, and identify faults in a simulated dc motor. © 2006 IEEE.
机译:提出了一种基于完全解耦奇偶方程的动态系统多重故障检测与识别方法,该系统具有线性和未知非线性项。导出了完全解耦的奇偶校验方程矢量,结果表明,由此产生的残差与其他故障和未知的非线性项解耦,并且仅对特定的执行器或传感器故障敏感。还给出了方程存在的条件。从完全解耦的奇偶校验方程生成的残差中,使用递归最小二乘法估算故障。通过将其应用于检测,隔离和识别模拟直流电动机中的故障来说明该方法的性能。 ©2006 IEEE。

著录项

  • 作者

    Chan CW; Hua S; HongYue Z;

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  • 年度 2006
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  • 原文格式 PDF
  • 正文语种 eng
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