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Computational cost of an exergy-based fault detection scheme implemented in a commercial process simulator

机译：在商业过程模拟器中实施的基于火种的故障检测方案的计算成本

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Energy-based fault detection and isolation (FDI) schemes show promise in terms of applicability to petrochemical industries and the broader process industries. Model-based FDI schemes offer pronounced advantages over more easily implemented data-driven FDI techniques. However, the implementation of model-based FDI schemes require the development of analytic models, and as such, widespread adoption is lacking. Although process simulators derive analytic models internally, comprehensive exergy-based parameters are not calculated automatically. In this work Aspen Hysys is extended by means of user variables to allow the automatic calculation of physical and chemical exergy for each process stream. Initial results indicate that additional computational overhead of approximately 20% is incurred and that the calculation technique scales well with model size. This calculation method allows the development of a truly hybrid model- and data-based approach to FDI within the process industries.
机译：基于能源的故障检测和隔离（FDI）方案在石化行业和更广泛的过程行业的适用性方面显示出了希望。与更容易实现的数据驱动的FDI技术相比，基于模型的FDI方案具有明显的优势。然而，基于模型的外国直接投资计划的实施需要分析模型的开发，因此，缺乏广泛的采用。尽管过程仿真器在内部导出分析模型，但是基于自动值的综合参数不会自动计算。在这项工作中，Aspen Hysys通过用户变量进行扩展，从而可以自动计算每个过程流的物理和化学能级。初步结果表明，这会产生大约20％的额外计算开销，并且该计算技术会随模型大小而很好地扩展。这种计算方法允许在过程工业中开发一种真正的基于模型和数据的混合FDI方法。

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