Diagnosis of an uncertain static system

O. Adrot, D. Maquin, J. Ragot
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引用次数: 18

Abstract

Deals with an original fault detection and isolation method, allowing us to take the structure and the range of model uncertainties into account. We focus on static and structured uncertain models, where each parameter uncertainty is described by a bounded variable. In order to de-couple residuals from unknown physical variables, a parity space approach is proposed, where the parity matrix depends on uncertain parameters. Because of this membership approach, called the bounding approach, residuals represent a set of feasible behaviours and define therefore the normal operating domain of the studied physical system. To simplify its evaluation and work on a simple domain such as a parallelotope, residuals are linearised in the bounded variables and a reduction procedure is applied to decrease their complexity. Once the constraints defining this domain are determined, consistency tests for fault detection and isolation are built.
不确定静态系统的诊断
处理了一种原始的故障检测和隔离方法,使我们能够考虑到模型的结构和范围的不确定性。我们专注于静态和结构化的不确定模型,其中每个参数的不确定性由一个有界变量描述。为了从未知物理变量中解耦残差,提出了一种奇偶空间方法,其中奇偶矩阵依赖于不确定参数。由于这种隶属度方法,称为边界方法,残差代表了一组可行的行为,因此定义了所研究的物理系统的正常工作域。为了简化其评估并在一个简单的域上工作,如平行四边形,残差在有界变量中线性化,并应用约简过程来降低其复杂性。一旦确定了定义该域的约束,就可以构建用于故障检测和隔离的一致性测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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