Design of a multi-model observer-based estimator for Fault Detection and Isolation (FDI) strategy: application to a chemical reactor
Design of a multi-model observer-based estimator for Fault Detection and Isolation (FDI) strategy: application to a chemical reactor
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基于多模型观测器的故障检测和隔离（FDI）策略估计器的设计：在化学反应器中的应用
DOI：
10.1590/s0104-66322008000400015
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发表时间：
2008
影响因子：
1.2
通讯作者：
Y. Chetouani
中科院分区：
文献类型：
--
作者：
Y. Chetouani
本文提出了一种非线性动态系统的FDI策略。它示出了通过结合基于残差信号的技术和使用多个卡尔曼滤波器的技术来解决故障检测和隔离问题的方法。这种组合的有用性是一组模型的在线实现，这代表了正常模式和故障的所有动态，如果残差的统计决策阈值超过一个固定值。在其他情况下，一个扩展卡尔曼滤波器（EKF）就足以估计过程状态。在描述了系统架构和建议的FDI方法之后，我们提出了一个现实的应用程序，以显示该技术的潜力。描述了一种算法，并将其应用于化学过程，如在半批处理模式下运行的完全搅拌的化学反应器。所用的化学反应是氧化还原反应，即过氧化氢氧化硫代硫酸钠。
This study presents a FDI strategy for nonlinear dynamic systems. It shows a methodology of tackling the fault detection and isolation issue by combining a technique based on the residuals signal and a technique using the multiple Kalman filters. The usefulness of this combination is the on-line implementation of the set of models, which represents the normal mode and all dynamics of faults, if the statistical decision threshold on the residuals exceeds a fixed value. In other cases, one Extended Kalman Filter (EKF) is enough to estimate the process state. After describing the system architecture and the proposed FDI methodology, we present a realistic application in order to show the technique's potential. An algorithm is described and applied to a chemical process like a perfectly stirred chemical reactor functioning in a semi-batch mode. The chemical reaction used is an oxido reduction one, the oxidation of sodium thiosulfate by hydrogen peroxide.