کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7104308 | 1460338 | 2018 | 16 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Large-scale plant-wide process modeling and hierarchical monitoring: A distributed Bayesian network approach
ترجمه فارسی عنوان
مدل سازی فرآیند گسترده و نظارت سلسله مراتبی: یک روش شبکه بیزی توزیع شده
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کلمات کلیدی
نظارت بر فرآیند گیاه گسترده، مدل سازی توزیع شده، نظارت سلسله مراتبی، شبکه بیزی، ترکیب تصمیم بیزی،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
تکنولوژی و شیمی فرآیندی
چکیده انگلیسی
In this work, a systematic distributed Bayesian network approach is proposed for modeling and monitoring large-scale plant-wide processes. First, to deal with the large-scale process modeling issue, the entire plant-wide process is decomposed into blocks and Bayesian networks are constructed for different blocks. Subsequently, distributed Bayesian network blocks are fused into a global Bayesian network with a proper designed algorithm. For fault detection, a missing data approach is proposed for state estimation, based on which the T2 and Q statistics are constructed. Finally, a Bayesian decision fusion mechanism is established for hierarchical monitoring of variables, unit blocks and the global industrial plant. For fault isolation, a Bayesian contribution index is further developed and the corresponding isolation scheme is proposed. Simulation results on the plant-wide Tennessee Eastman process show that the distributed Bayesian network approach can be feasible for modeling large-scale process. Furthermore, the proposed hierarchical monitoring scheme provides informative multi-level reference results for further diagnosis and isolation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Process Control - Volume 65, May 2018, Pages 91-106
Journal: Journal of Process Control - Volume 65, May 2018, Pages 91-106
نویسندگان
Jinlin Zhu, Zhiqiang Ge, Zhihuan Song, Le Zhou, Guangjie Chen,