Functional analysis and modeling of complex, evolutionary grown, mechatronic products

M. Roth, D. Kasperek, U. Lindemann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In evolutionary grown mechatronic systems, the involved disciplines are often not sufficiently integrated. For optimization and improvement of this situation, the system and its functional dependencies are modeled. During the steps of defining objects and building up the model, the identification of functional dependencies is challenging. This contribution presents an approach to support these steps in order to improve the quality of the model. It addresses situations and systems, in which documentation and a system overview are not available adequately. Thus a modeling-scheme is developed and the elements are used to build up a Multiple Domain Matrix. The functional dependencies are derived from relations in the domains of 'information' and 'states'. The approach is demonstrated by an example out of industrial context.

Original languageEnglish
Title of host publicationIEEE International Conference on Industrial Engineering and Engineering Management
PublisherIEEE Computer Society
Pages346-350
Number of pages5
ISBN (Electronic)9781479909865
DOIs
StatePublished - 18 Nov 2014
Event2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013 - Bangkok, Thailand
Duration: 10 Dec 201313 Dec 2013

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013
Country/TerritoryThailand
CityBangkok
Period10/12/1313/12/13

Keywords

  • function modeling
  • mechatronics
  • model based engineering
  • modeling methodology

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