Applying quality assurance concepts from software development to simulation model assessment in smart equipment

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Abstract

Smart equipment as a cyber-physical system can be envisioned to support
owner/operators with model-based assistance systems. In fluctuating process scenarios, which are expected within modular plants, frequent adaptation of the required simulation models to changing conditions will be necessary. Therefore, automated functional quality assessment for simulation models would provide a significant added value for the owner/operator. Currently, quality assessment of simulation models is dominated by the verification and validation methods developed by Sargent and co-authors (Sargent and Balci, 2017). Although these methods provide a wide spectrum of assessment methods, they base on a rather narrow view on quality of simulation models. In addition, quality and quality advancement are typically not measured continuously. To overcome these obstacles, the authors discuss the applicability of central quality assurance methods from the field of software development to simulation model assessment. These are the principle of test-driven development and the application of quality models to measure quality and quality advancement. A framework and a workflow for test-driven development of simulation models are proposed and evaluated in a case study on a soft sensor for a fermentation process. It was found, that in principle, the framework provides transparent and continuous quality assessment in a semi-automated manner and lays the foundation for guidance strategies during model development.

Mädler, J., Viedt, I., & Urbas, L. (2021). Applying quality assurance concepts from software development to simulation model assessment in smart equipment. In Computer Aided Chemical Engineering (Vol. 50, pp. 813-818). Elsevier.

Details

OriginalspracheEnglisch
Titel31st European Symposium on Computer Aided Process Engineering
Redakteure/-innenMetin Türkay, Rafiqul Gani
Herausgeber (Verlag)Elsevier Science B.V.
Seiten813-818
Seitenumfang6
ISBN (Print)9780323983266
PublikationsstatusVeröffentlicht - Jan. 2021
Peer-Review-StatusJa

Konferenz

Titel31st European Symposium on Computer Aided Process Engineering
KurztitelESCAPE-31
Veranstaltungsnummer31
Dauer6 Juni 2021 - 9 März 2022
BekanntheitsgradInternationale Veranstaltung
StadtIsanbul
LandTürkei

Externe IDs

ORCID /0000-0002-5814-5128/work/142242020
ORCID /0000-0001-5165-4459/work/142248236
ORCID /0000-0001-7012-5966/work/142253158
Scopus 85110305819
Mendeley 120f8f46-416f-3673-a27c-f49de8a6b6cf

Schlagworte

Forschungsprofillinien der TU Dresden

DFG-Fachsystematik nach Fachkollegium

Fächergruppen, Lehr- und Forschungsbereiche, Fachgebiete nach Destatis

Ziele für nachhaltige Entwicklung

Schlagwörter

  • Smart equipment, quality assessment, soft sensor, validation, smart equipment