Model-based approach for the reliability prediction of mechatronic systems on the system-level

Martin Follmer, Peter Hehenberger, Klaus Zeman

Research output: Chapter in Book/Report/Conference proceedingsConference contribution

6 Citations (Scopus)

Abstract

In general, mechatronic products merge solutions from different engineering disciplines and therefore a mechatronic design process must integrate multiple disciplines as well. There is a critical lack of tools supporting the inter-disciplinary aspects of the development process of mechatronic products, especially in the conceptual design phase. A general approach for the creation of mechatronic system models as well as a simulation-based design process based on system-level simulations was elaborated. Simulations on the system-level are different from those on the discipline-level. They should contribute to a better understanding of the overall system under consideration by the evaluation of system-specific (global) properties that cannot be evaluated on a discipline-specific level. In this paper a model-based approach for the reliability prediction of mechatronic systems on the system-level is presented.

Original languageEnglish
Title of host publicationComputer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers
Pages105-112
Number of pages8
EditionPART 2
DOIs
Publication statusPublished - 2012
Eventeurocast Thirteen International Conference on Computer Aided Systems Theory - Cran Canaria, Spain
Duration: 6 Feb 201111 Feb 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6928 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conferenceeurocast Thirteen International Conference on Computer Aided Systems Theory
Country/TerritorySpain
CityCran Canaria
Period06.02.201111.02.2011

Keywords

  • mechatronic systems
  • mechatronics
  • process model
  • product development process
  • reliability prediction
  • system models
  • system-level modelling
  • system-level models
  • systems-of-systems

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