Fault detection and diagnosis is a crucial approach to ensure safe and efficient operation of chemical processes. This paper reports a new fault diagnosis method that exploits dynamic process simulation and pattern matching techniques. The proposed method consists of a simulated fault database which, through pattern matching, helps narrow down the fault candidates in an efficient way. An optimization based fault reconstruction method is then developed to determine the fault pattern from the candidates and the corresponding magnitude and time of occurrence of the fault. A major advantage of this approach is that it is capable of diagnosing both single and multiple faults. We illustrate the effectiveness of the proposed method through case studies of the Tennessee Eastman benchmark process.

中文翻译：

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过程匹配的模式匹配与主动仿真方法

故障检测和诊断是确保化学过程安全有效运行的关键方法。本文报告了一种新的故障诊断方法，该方法利用了动态过程仿真和模式匹配技术。所提出的方法由一个模拟的故障数据库组成，该数据库通过模式匹配可以有效地缩小候选故障的范围。然后，开发了一种基于优化的故障重建方法，以根据候选对象以及故障的相应大小和发生时间确定故障模式。这种方法的主要优点是它能够诊断单个和多个故障。我们通过田纳西州伊士曼基准流程的案例研究说明了该方法的有效性。