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 proceedingConference proceedingspeer-review

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 publicationEurocast 2011
Editors Roberto Moreno-Díaz, Franz Pichler, Alexis Quesada-Arencibia
PublisherSpringer
Pages105-112
Number of pages8
Volume6928
ISBN (Print)978-3-642-27578-4
DOIs
Publication statusPublished - 2012

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

Fields of science

  • 102005 Computer aided design (CAD)
  • 202007 Computer integrated manufacturing (CIM)
  • 203 Mechanical Engineering
  • 203006 Production engineering
  • 203013 Mechanical engineering
  • 203014 Machine dynamics
  • 203015 Mechatronics
  • 203022 Technical mechanics
  • 203026 Forming
  • 102034 Cyber-physical systems
  • 103043 Computational physics
  • 203037 Computational engineering

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