An automata based hybrid modeling approach to synthesize sequential diagnostic tests

Shih Ting Feng, Yi Chung Chen, Chuei-Tin Chang

Research output: Contribution to journalArticle

Abstract

Although the automata based diagnostic tests have already been developed in the past for differentiating the originally inseparable fault origins in simple chemical processes, their applicability in realistic systems is still questionable. This is primarily due to the facts that automata are basically modeling tools for the discrete event systems (DESs) but most process variables are continuous. To address this practical issue, the dynamic behavior of every processing unit involved in a given operation is modeled in this work by incorporating both the generic engineering knowledge and also the ASPEN-generated dynamic 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 automata based model building strategy is demonstrated with two examples concerning the startup operations of a flash process and also a distillation column.

Original languageEnglish
Pages (from-to)29-47
Number of pages19
JournalChemical Engineering Research and Design
DOIs
Publication statusPublished - 2019 May 1

Fingerprint

Knowledge engineering
Distillation columns
Discrete event simulation
Computer simulation
Processing

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Chemical Engineering(all)

Cite this

@article{0cda26fbb48f4b2194a88473f3f24498,
title = "An automata based hybrid modeling approach to synthesize sequential diagnostic tests",
abstract = "Although the automata based diagnostic tests have already been developed in the past for differentiating the originally inseparable fault origins in simple chemical processes, their applicability in realistic systems is still questionable. This is primarily due to the facts that automata are basically modeling tools for the discrete event systems (DESs) but most process variables are continuous. To address this practical issue, the dynamic behavior of every processing unit involved in a given operation is modeled in this work by incorporating both the generic engineering knowledge and also the ASPEN-generated dynamic 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 automata based model building strategy is demonstrated with two examples concerning the startup operations of a flash process and also a distillation column.",
author = "Feng, {Shih Ting} and Chen, {Yi Chung} and Chuei-Tin Chang",
year = "2019",
month = "5",
day = "1",
doi = "10.1016/j.cherd.2019.02.033",
language = "English",
pages = "29--47",
journal = "Chemical Engineering Research and Design",
issn = "0263-8762",
publisher = "Institution of Chemical Engineers",

}

An automata based hybrid modeling approach to synthesize sequential diagnostic tests. / Feng, Shih Ting; Chen, Yi Chung; Chang, Chuei-Tin.

In: Chemical Engineering Research and Design, 01.05.2019, p. 29-47.

Research output: Contribution to journalArticle

TY - JOUR

T1 - An automata based hybrid modeling approach to synthesize sequential diagnostic tests

AU - Feng, Shih Ting

AU - Chen, Yi Chung

AU - Chang, Chuei-Tin

PY - 2019/5/1

Y1 - 2019/5/1

N2 - Although the automata based diagnostic tests have already been developed in the past for differentiating the originally inseparable fault origins in simple chemical processes, their applicability in realistic systems is still questionable. This is primarily due to the facts that automata are basically modeling tools for the discrete event systems (DESs) but most process variables are continuous. To address this practical issue, the dynamic behavior of every processing unit involved in a given operation is modeled in this work by incorporating both the generic engineering knowledge and also the ASPEN-generated dynamic 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 automata based model building strategy is demonstrated with two examples concerning the startup operations of a flash process and also a distillation column.

AB - Although the automata based diagnostic tests have already been developed in the past for differentiating the originally inseparable fault origins in simple chemical processes, their applicability in realistic systems is still questionable. This is primarily due to the facts that automata are basically modeling tools for the discrete event systems (DESs) but most process variables are continuous. To address this practical issue, the dynamic behavior of every processing unit involved in a given operation is modeled in this work by incorporating both the generic engineering knowledge and also the ASPEN-generated dynamic 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 automata based model building strategy is demonstrated with two examples concerning the startup operations of a flash process and also a distillation column.

UR - http://www.scopus.com/inward/record.url?scp=85062976530&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85062976530&partnerID=8YFLogxK

U2 - 10.1016/j.cherd.2019.02.033

DO - 10.1016/j.cherd.2019.02.033

M3 - Article

SP - 29

EP - 47

JO - Chemical Engineering Research and Design

JF - Chemical Engineering Research and Design

SN - 0263-8762

ER -