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An Observer-Based Fault Detection Scheme for Distributed Parameter Systems of Hyperbolic Type and Its Application in Paper Production Process

机译:双曲型分布式参数系统的观察者故障检测方案及其在造纸生产过程中的应用

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In this paper, an observer-based fault detection scheme is developed for one special kind of distributed parameter systems (DPS) of hyperbolic type. An alternative order reduction approach is utilized to handle the infinite-dimensional nature of DPS for fault detection purpose, compared with the existing modal analysis based method which relies on the existence of eigen-decomposition of the spatial differential operator. The developed fault detection scheme is finally implemented on a simulation model of the paper drying process in paper production industry, and the achieved results demonstrate the effectiveness of the proposed scheme.
机译:在本文中,开发了一种基于观察者的故障检测方案,用于双曲线类型的一种特殊分布式参数系统(DPS)。与现有的基于模态分析的方法相比,利用替代订单减少方法来处理DPS用于故障检测目的的无限尺寸性质,依赖于空间差分运算符的特征分解的存在。最终开发的故障检测方案最终在纸张生产行业的纸张干燥过程的仿真模型上实施,达到的结果证明了该方案的有效性。

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