openHSU logo
  • English
  • Deutsch
  • Log In
  • Communities & Collections
  1. Home
  2. Helmut-Schmidt-University / University of the Federal Armed Forces Hamburg
  3. Publications
  4. 3 - Publication references (without full text)
  5. Interaction of model-driven engineering and signal-based online monitoring of production systems: Towards Requirement-aware evolution
 
Options
Show all metadata fields

Interaction of model-driven engineering and signal-based online monitoring of production systems: Towards Requirement-aware evolution

Publication date
2014-02-24
Document type
Conference paper
Author
Haubeck, Christopher
Lamersdorf, Winfried
Ladiges, Jan
Fay, Alexander 
Fuchs, Julia
Legat, Christoph
Vogel-Heuser, Birgit
Organisational unit
Automatisierungstechnik 
DOI
10.1109/IECON.2014.7048868
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/15096
Scopus ID
2-s2.0-84949929100
ISBN
9781479940325
Conference
Conference: Annual Conference of the IEEE Industrial Electronics Society (IECON 2014), Oct. 29, 2014 - Nov. 1, 2014, Dallas, TX, USA
Book title
IECON 2014 - 40th annual conference of the IEEE Industrial Electronics Society
First page
2571
Last page
2577
Part of the university bibliography
✅
  • Additional Information
Keyword
Model driven engineering requirement verification
Online Monitoring
Production Automation
Rrequirement Verification
Abstract
Due to market requests many production systems undergo an everlasting evolution process that increasingly shifts traditional development activities for production systems to later phases of their lifecycle. As one of these activities, this contribution aims on the need for a semi-automated requirement verification mechanism during evolution. In this context the contribution proposes an answer to the question how a posteriori as well as a priori verification can be combined and which synergies arise accordingly. To do so, two appropriated approaches, one using an interdisciplinary modeling framework for model-driven engineering, and one using a PLC-signal based monitoring technique are presented that enhance each other by comparing estimated and actual system characteristics as verifiable requirement description. The resulting combined approach and its synergies are illustrated in two scenarios of an evolution case study.
Version
Not applicable (or unknown)
Access right on openHSU
Metadata only access

  • Cookie settings
  • Privacy policy
  • Send Feedback
  • Imprint