A Fault Identification Method in Distillation Process Based on Dynamic Mechanism Analysis and Signed Directed Graph
Due to the complexity of materials and energy cycles, the distillation system has numerous working conditions difficult to troubleshoot in time. To address the problem, a novel DMA-SDG fault identification method that combines dynamic mechanism analysis based on process simulation and signed directe...
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doaj-b55508cc2b6a486d9f2f196e045a95b12021-01-27T00:05:12ZengMDPI AGProcesses2227-97172021-01-01922922910.3390/pr9020229A Fault Identification Method in Distillation Process Based on Dynamic Mechanism Analysis and Signed Directed GraphWende Tian0Shifa Zhang1Zhe Cui2Zijian Liu3Shaochen Wang4Ya Zhao5Hao Zou6College of Chemical Engineering, Qingdao University of Science & Technology, Qingdao 266042, ChinaCollege of Chemical Engineering, Qingdao University of Science & Technology, Qingdao 266042, ChinaCollege of Chemical Engineering, Qingdao University of Science & Technology, Qingdao 266042, ChinaCollege of Chemical Engineering, Qingdao University of Science & Technology, Qingdao 266042, ChinaCollege of Chemical Engineering, Qingdao University of Science & Technology, Qingdao 266042, ChinaCollege of Chemical Engineering, Qingdao University of Science & Technology, Qingdao 266042, ChinaCollege of Chemical Engineering, Qingdao University of Science & Technology, Qingdao 266042, ChinaDue to the complexity of materials and energy cycles, the distillation system has numerous working conditions difficult to troubleshoot in time. To address the problem, a novel DMA-SDG fault identification method that combines dynamic mechanism analysis based on process simulation and signed directed graph is proposed for the distillation process. Firstly, dynamic simulation is employed to build a mechanism model to provide the potential relationships between variables. Secondly, sensitivity analysis and dynamic mechanism analysis in process simulation are introduced to the SDG model to improve the completeness of this model based on expert knowledge. Finally, a quantitative analysis based on complex network theory is used to select the most important nodes in SDG model for identifying the severe malfunctions. The application of DMA-SDG method in a benzene-toluene-xylene (BTX) hydrogenation prefractionation system shows sound fault identification performance.https://www.mdpi.com/2227-9717/9/2/229distillation processmechanism analysisSDG modelfault identification |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wende Tian Shifa Zhang Zhe Cui Zijian Liu Shaochen Wang Ya Zhao Hao Zou |
spellingShingle |
Wende Tian Shifa Zhang Zhe Cui Zijian Liu Shaochen Wang Ya Zhao Hao Zou A Fault Identification Method in Distillation Process Based on Dynamic Mechanism Analysis and Signed Directed Graph Processes distillation process mechanism analysis SDG model fault identification |
author_facet |
Wende Tian Shifa Zhang Zhe Cui Zijian Liu Shaochen Wang Ya Zhao Hao Zou |
author_sort |
Wende Tian |
title |
A Fault Identification Method in Distillation Process Based on Dynamic Mechanism Analysis and Signed Directed Graph |
title_short |
A Fault Identification Method in Distillation Process Based on Dynamic Mechanism Analysis and Signed Directed Graph |
title_full |
A Fault Identification Method in Distillation Process Based on Dynamic Mechanism Analysis and Signed Directed Graph |
title_fullStr |
A Fault Identification Method in Distillation Process Based on Dynamic Mechanism Analysis and Signed Directed Graph |
title_full_unstemmed |
A Fault Identification Method in Distillation Process Based on Dynamic Mechanism Analysis and Signed Directed Graph |
title_sort |
fault identification method in distillation process based on dynamic mechanism analysis and signed directed graph |
publisher |
MDPI AG |
series |
Processes |
issn |
2227-9717 |
publishDate |
2021-01-01 |
description |
Due to the complexity of materials and energy cycles, the distillation system has numerous working conditions difficult to troubleshoot in time. To address the problem, a novel DMA-SDG fault identification method that combines dynamic mechanism analysis based on process simulation and signed directed graph is proposed for the distillation process. Firstly, dynamic simulation is employed to build a mechanism model to provide the potential relationships between variables. Secondly, sensitivity analysis and dynamic mechanism analysis in process simulation are introduced to the SDG model to improve the completeness of this model based on expert knowledge. Finally, a quantitative analysis based on complex network theory is used to select the most important nodes in SDG model for identifying the severe malfunctions. The application of DMA-SDG method in a benzene-toluene-xylene (BTX) hydrogenation prefractionation system shows sound fault identification performance. |
topic |
distillation process mechanism analysis SDG model fault identification |
url |
https://www.mdpi.com/2227-9717/9/2/229 |
work_keys_str_mv |
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