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Identification of residual generators for fault detection of linear dynamic models

机译:识别线性动力模型故障检测的剩余发电机

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Classical model-based fault detection schemes forlinear multivariable systems require the definition of suitable residual functions. This paper shows the possibility of identifying residual generators even when the system model is unknown, by following a black-box approach. The result is obtained by using canonical input-output polynomial forms which lead to characterise in a straightforward fashion the basis of the subspace described by all possible residual generators. The performance of the proposed identification method is tested by means of Monte Carlo simulations.
机译:基于古典模型的故障检测方案需要线性多变量系统需要定义合适的残余功能。本文通过遵循黑盒方法,即使系统模型未知,也显示出识别剩余发电机的可能性。结果是通过使用规范输入 - 输出多项式形式获得的,这导致以简单的方式表征,以简单的方式基于所有可能的残余发电机所描述的子空间的基础。通过Monte Carlo模拟测试所提出的识别方法的性能。

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