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The research of maintainability analysis based on immersive virtual maintenance technology

  • Wei Wang
  • , Wei Zhang*
  • , Weijia Feng
  • *Corresponding author for this work
  • Beihang University

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

Abstract

Maintainability as an intrinsic property should be designed and built into a product during the design phases to ensure service reliability. The virtual human can operate virtual prototype in virtual environment instead of the real person to analysis maintainability. This article introduces a method that use the Cave Automated Virtual Environment (CAVE), motion capture system (PHA-SESPACE MOTION CAPTURE) and virtual simulation software (DELMIA) to build immersive virtual maintenance simulation system, which not only can help analyze the maintenance data and products’ maintainability, but also allows the users operate the virtual product in virtual environment. With the help of the simulation system, we can analyze the comfort of the user’s action, and evaluate visibility, reachability and operation space of products for maintainability analysis to provide suggestions for the improvement of physical prototype design. At last, this paper will introduce a case study of this immersive virtual simulation system to implement maintainability analysis.

Original languageEnglish
Title of host publicationAdvances in Human Factors in Simulation and Modeling - Proceedings of the AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017
EditorsDaniel N. Cassenti
PublisherSpringer Verlag
Pages573-582
Number of pages10
ISBN (Print)9783319605906
DOIs
StatePublished - 2018
EventAHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017 - Los Angeles, United States
Duration: 17 Jul 201721 Jul 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume591
ISSN (Print)2194-5357

Conference

ConferenceAHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017
Country/TerritoryUnited States
CityLos Angeles
Period17/07/1721/07/17

Keywords

  • Ergonomic
  • Immersive virtual maintenance environment
  • Maintainability analysis

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