ARX过程突发性故障的检测与辨识

DETECTION AND IDENTIFICATION OF ABRUPT FAULTS FOR ARX PROCESS

  • 摘要: 在分析突发性故障对带外生变量自回归过程(ARX)影响的基础上,本文建立了脉冲型故障检测与故障幅度辨识算法,提出了采用脉冲型故障的检测与辨识方法处理阶跃型故障的技术途径,并通过仿真计算验证了本文方法的有效性.

     

    Abstract: Based on analyzing the Influence coming from pulse-type faults of inputs, two series of detection and identification algorithms, including off-line and on-line detection, are built. In order to build the on-line detection approaches, and deal with step-type faults, a simple transformation is suggested. Using this transformation, we can use all kinds of diagnosis methods to detect and identify step-type faults. At the end of this paper, a simulation is done to show that the on-line detection and identification algorithms are efficient and practical.

     

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