A hybrid modeling strategy for synthesizing diagnostic tests in sequential material- and energy-transfer operations

Shih Ting Fong, Chun Jung Wang, Chuei-Tin Chang

研究成果: Conference contribution

摘要

Although diagnostic tests have already been developed in the past for differentiating the originally inseparable fault origins in several simple batch processes, their applicability in realistic systems is still questionable. To address this practical issue, the dynamic behavior of every processing unit involved in a given sequential operation is modeled here by integrating both the generic engineering knowledge and also the ASPEN-generated simulation data into a single automaton. The improved test plans can then be synthesized according to the system model obtained by assembling all such automata. The feasibility of this model building strategy is demonstrated with an example concerning the start-up operation of a flash process.

原文English
主出版物標題2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017
發行者Institute of Electrical and Electronics Engineers Inc.
頁面442-447
頁數6
ISBN(電子)9781509043972
DOIs
出版狀態Published - 2017 七月 18
事件6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017 - Taipei, Taiwan
持續時間: 2017 五月 282017 五月 31

出版系列

名字2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017

Other

Other6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017
國家Taiwan
城市Taipei
期間17-05-2817-05-31

All Science Journal Classification (ASJC) codes

  • Process Chemistry and Technology
  • Industrial and Manufacturing Engineering
  • Control and Optimization
  • Modelling and Simulation

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