Abstract Most modern chemical processes consist of a number of process units interconnected with mass and energy flows, often with energy integration and materials recycle loops. As such, faults (process faults, actuator faults, or sensor faults) often propagate to multiple process units (subsystems), causing significant difficulties in fault diagnosis for plantwide systems. In this paper, a general distributed fault diagnosis approach is proposed for plantwide chemical processes, which takes into account the interactions among process units. The distributed fault diagnostic observers are designed to be sensitive to the local faults (local sensitivity) and insensitive to faults in other process units (remote faults insensitivity) and disturbances. The above requirements are formulated as plantwide dissipativity conditions and the gains for the distributed estimators and residual generators are obtained offline by solving a set of linear matrix inequalities. A case study of heat exchanger network is presented to demonstrate the effectiveness of the proposed approach.

中文翻译：

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基于耗散性的全厂化学过程分布式故障诊断

摘要 大多数现代化学过程由许多与质量流和能量流相互连接的过程单元组成，通常具有能量集成和材料循环回路。因此，故障（过程故障、执行器故障或传感器故障）通常会传播到多个过程单元（子系统），给全厂系统的故障诊断带来很大困难。在本文中，针对全厂范围的化学过程提出了一种通用的分布式故障诊断方法，该方法考虑了过程单元之间的相互作用。分布式故障诊断观察器设计为对本地故障敏感（本地灵敏度），对其他过程单元中的故障（远程故障不敏感）和干扰不敏感。上述要求被表述为全厂耗散条件，分布式估计器和残差生成器的增益通过求解一组线性矩阵不等式离线获得。提出了一个换热网络案例研究，以证明所提出方法的有效性。