التفاصيل البيبلوغرافية
| العنوان: |
A Fault Identification Method in Distillation Process Based on Dynamic Mechanism Analysis and Signed Directed Graph |
| المؤلفون: |
Wende Tian, Shifa Zhang, Zhe Cui, Zijian Liu, Shaochen Wang, Ya Zhao, Hao Zou |
| المصدر: |
Processes; Volume 9; Issue 2; Pages: 229 |
| بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
| سنة النشر: |
2021 |
| المجموعة: |
MDPI Open Access Publishing |
| مصطلحات موضوعية: |
distillation process, mechanism analysis, SDG model, fault identification |
| جغرافية الموضوع: |
agris |
| الوصف: |
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. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| العلاقة: |
Process Control and Supervision; https://dx.doi.org/10.3390/pr9020229Test |
| DOI: |
10.3390/pr9020229 |
| الإتاحة: |
https://doi.org/10.3390/pr9020229Test |
| حقوق: |
https://creativecommons.org/licenses/by/4.0Test/ |
| رقم الانضمام: |
edsbas.D5F06B |
| قاعدة البيانات: |
BASE |
