dc.contributor.author | Marais, Henri | |
dc.contributor.author | Van Schoor, George | |
dc.contributor.author | Uren, Kenneth R. | |
dc.date.accessioned | 2019-05-23T06:24:58Z | |
dc.date.available | 2019-05-23T06:24:58Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Marais, H. et al. 2019. The merits of exergy-based fault detection in petrochemical processes. Journal of process control, 74:110-119. [https://doi.org/10.1016/j.jprocont.2017.11.005] | en_US |
dc.identifier.issn | 0959-1524 | |
dc.identifier.uri | http://hdl.handle.net/10394/32425 | |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S095915241730207X | |
dc.identifier.uri | https://doi.org/10.1016/j.jprocont.2017.11.005 | |
dc.description.abstract | The complexity and multi-domain nature of petrochemical (PC) plants make the application of conventional model-based fault detection and isolation (FDI) techniques a challenging endeavour. Although hybrid FDI schemes aim to address this shortfall, many are simply a combination of data-driven techniques that exclude physical system information. In this work, a hybrid approach to FDI of a PC process is proposed that is based on an exergy-data abstraction. Data from an actual system is abstracted to system exergy, based on physical knowledge of the system and then used as a diagnostic metric for the FDI scheme. In this paper, it is shown why energy-based approaches are lacking when considering petrochemical processes. After presenting a novel method for the real-time, automatic calculation of chemical exergy in Aspen HySys® the applicability of exergy-based fault detection is investigated. Application of the exergy-based fault detection scheme shows a marked improvement over the energy-based approach with perfect detectability and isolability of the considered process faults. The exergy-based fault detection technique shows merit in comparison to the energy-based detection scheme. Additionally, and more importantly, exergy-based characterisation allows the use of more sophisticated model-based fault detection schemes to petrochemical processes | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.subject | Autothermal | en_US |
dc.subject | Fault identification | en_US |
dc.subject | Fault detection | en_US |
dc.subject | Exergy | en_US |
dc.subject | Aspen HySys® | en_US |
dc.title | The merits of exergy-based fault detection in petrochemical processes | en_US |
dc.type | Article | en_US |
dc.contributor.researchID | 12806218 - Marais, Henri-Jean | |
dc.contributor.researchID | 12134457 - Van Schoor, George | |
dc.contributor.researchID | 12064203 - Uren, Kenneth Richard | |