Diagnosis of batch processes based on parameter estimation of discrete event models
Diagnosis of batch processes based on parameter estimation of discrete event models
复制标题
基于离散事件模型参数估计的批处理过程诊断
DOI：
10.23919/ecc.2001.7076150
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
V. Krebs
中科院分区：
文献类型：
--
作者：
G. Schullerus;V. Krebs
本文提出了一种基于模型的批处理过程诊断方法，可以通过定时事件图充分建模。此类特定离散事件系统的事件时间的演变可以通过使用最大加代数的代数模型来描述。我们提出并讨论了一种基于此类代数离散事件过程模型的参数估计的诊断方法，并通过在批量过程中诊断阀门故障来演示该方法的应用。
This paper presents a model based diagnosis approach for batch processes that can be adequately modeled by timed event graphs. The evolution of the event times for this particular class of discrete event systems can be described by an algebraic model using the max-plus algebra. We present and discuss a diagnosis method based on parameter estimation of such algebraic discrete event process models and demonstrate the application by diagnosing valve faults in a batch process.