Application of randomized algorithms to assessment and design of observer-based fault detection systems

Application of randomized algorithms to assessment and design of observer-based fault detection systems
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随机算法在基于观测器的故障检测系统评估和设计中的应用

DOI:
10.1016/j.automatica.2019.05.037
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发表时间:
2019-09
期刊:
影响因子:
6.4
通讯作者:
Krueger Minjia
Krueger Minjia
中科院分区:
计算机科学2区
文献类型:
--
作者:
Ding Steven X;Li Linlin;Krueger Minjia

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这项工作试图建立一个概率框架来评估和设计基于观测器的故障检测系统。我们研究的基础是随机化算法方法,这些方法被成功地应用于处理鲁棒控制中的不确定性问题。为此,首先介绍了故障和模型不确定性的概率参数模型。我们的工作主要集中在开发用于评估虚警率、故障检测率和平均检测时间的随机化算法以及基于观测器的故障检测系统的设计。为了说明所提出的算法和方法的潜在应用,对一个真实的三容水箱系统进行了基准研究。
This work is an attempt to establish a probabilistic framework for the assessment and design of observer-based fault detection systems. The fundament of our study is randomized algorithms methods which are successfully applied to deal with uncertainty issues in robust control. For our purpose, probabilistic parameter models for faults and model uncertainties are first introduced. The main focus of our work is on the development of randomized algorithms for the assessment of false alarm rate, fault detection rate and mean time to detection as well as for the design of observer-based fault detection systems. To illustrate the potential applications of the proposed algorithms and methods, benchmark study on a real three-tank system is included.
DOI: 10.1097/01.nur.0000311782.26413.8e
发表时间: 2008-03
影响因子: 1.2
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DOI: 10.1109/9.983385
发表时间: 2002-08
期刊: IEEE Trans. Autom. Control.
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