A Hybrid Modeling Strategy to Build Automata for Synthesizing Diagnostic Tests in Sequential Operations

碩士 === 國立成功大學 === 化學工程學系 === 105 === Although diagnostic tests have been adopted in the past for differentiating the originally inseparable fault origins in simple batch processes, their applicability in realistic systems is still questionable. To address this concern, the dynamic behavior of every...

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Bibliographic Details
Main Authors: Shih-TingFeng, 馮詩婷
Other Authors: Chuei-Tin Chang
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/t26e9e
Description
Summary:碩士 === 國立成功大學 === 化學工程學系 === 105 === Although diagnostic tests have been adopted in the past for differentiating the originally inseparable fault origins in simple batch processes, their applicability in realistic systems is still questionable. To address this concern, the dynamic behavior of every processing unit involved in a given sequential operation is modeled in this work by integrating both the generic engineering knowledge and also the ASPEN-generated simulation data into an automaton. The improved test plans can be synthesized according to the system model obtained by assembling all such automata. The validity of this approach has also been verified in dynamic simulation studies in several realistic examples with ASPEN Plus Dynamics. The feasibility of this model building strategy is demonstrated with examples concerning the start-up operations of a flash process and also a distillation column.