Effect of model uncertainty on failure detection: the threshold selector
Effect of model uncertainty on failure detection: the threshold selector
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DOI：
10.1109/9.14432
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发表时间：
1988-12
影响因子：
6.8
通讯作者：
A. Emami-Naeini;M. M. Akhter-M.;S. Rock
中科院分区：
文献类型：
--
作者：
A. Emami-Naeini;M. M. Akhter-M.;S. Rock
所有故障检测、隔离和适应（DIA）算法的性能都受到模型不确定性存在的影响。作者提出了一个独特的框架，将建模错误的知识纳入故障检测系统的分析和设计。引入了阈值选择器的概念，它是一个非线性不等式，其解定义了可检测传感器故障信号的集合。它确定了用于基于创新的DIA算法的最佳阈值。最佳阈值是建模误差、噪声特性、DIA滤波器速度和参考信号和故障信号类别的界的函数。还确定了最小可检测故障的大小。将结果应用于多变量涡扇喷气发动机实例，与以往的研究结果相比有了一定的改进。>
The performance of all failure detection, isolation, and accommodation (DIA) algorithms is influenced by the presence of model uncertainty. The authors present a unique framework to incorporate a knowledge of modeling error in the analysis and design of failure detection systems. A concept is introduced called the threshold selector, which is a nonlinear inequality whose solution defines the set of detectable sensor failure signals. It identifies the optimal threshold to be used in innovations-based DIA algorithms. The optimal threshold is shown to be a function of the bound on modeling errors, the noise properties, the speed of DIA filters and the classes of reference and failure signals. The size of the smallest detectable failure is also determined. The results are applied to a multivariable turbofan jet engine example, which demonstrates improvements compared to previous studies. >