Platform degrader analysis for the complex systems for the design and application of condition based maintenance

Jeffrey C. Banks, Mitchell Lebold, Karl Martin Reichard, Jason A. Hines, Mark S. Brought

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

Abstract

The US Army's Heavy Brigade Combat Team (HBCT) is investigating the implementation of Vehicle Health Management Systems across its fleet of platforms. A vehicle degrader analysis was conducted to determine where the application of vehicle health management systems (VHMS) could potentially have the greatest impact on increasing maintainer effectiveness and operational availability. The analysis was conducted for M1 Abrams tanks and M2/M3 Bradley Fighting Vehicles using data from three sources: 1) multi-year statistical data on repairs, operating and support costs, and logistics data, 2) interviews with maintainers, service representatives and operators, and 3) questionnaires completed by the platform OEM's. The paper will describe how these alternative data and information sources were used when ideal data and information sources were not available. The statistical data provided an indication of vehicle consumable and repairable cost drivers, part replacement quantity and some indication of component failure isolation for vehicle systems. The interviews with vehicle maintainers, field service representatives and operators provided insight into platform reliability, maintainability and human factors issues. The maintainability, reliability and diagnostic coverage information from the OEM's, provided information about mission criticality and general diagnostic capability for specific vehicle sub-systems and components. The results of the degrader analysis include a list of components and sub-systems that contribute most to maintainability, reliability and vehicle operational availability issues. The degrader results, were used to develop the conceptual design of the optimum application of embedded vehicle diagnostics and prognostics for more effective and efficient HCBT platform maintenance, logistic support and platform life cycle management.

Original languageEnglish (US)
Title of host publication2014 IEEE Aerospace Conference
PublisherIEEE Computer Society
ISBN (Print)9781479916221
DOIs
StatePublished - Jan 1 2014
Event2014 IEEE Aerospace Conference - Big Sky, MT, United States
Duration: Mar 1 2014Mar 8 2014

Publication series

NameIEEE Aerospace Conference Proceedings
ISSN (Print)1095-323X

Other

Other2014 IEEE Aerospace Conference
CountryUnited States
CityBig Sky, MT
Period3/1/143/8/14

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

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