• DocumentCode
    127121
  • Title

    Reliability-based health monitoring redline voting logic design

  • Author

    Zhaofeng Huang ; Aguilar, Rene ; Larkin, J. ; Swider, Jan

  • Author_Institution
    Internal Mail Code RFA45, Aerojet Rocketdyne, Canoga Park, CA, USA
  • fYear
    2014
  • fDate
    27-30 Jan. 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Redline limit protection is a very important safety and reliability design feature for “cannot fail” systems such as liquid rocket engines and launch vehicles. Traditionally, the redline system design is ad-hoc without formal and systematic reliability consideration. This paper presents a reliability-based redline voting logic design methodology to enhance the redline effectiveness. The paper introduces two reliability measures, false positive probability and false negative probability, and applies them to guide voting logic design assessment and alternative option selections. Several design options are proposed and evaluated, including “All” logic, “Majority” logic, and “Average” logic. Illustrative examples are shown, and some general comparison conclusions of these design options are presented. With the reliability consideration and sound health monitoring redline system designs and implementations, it is believed that more potential for higher reliability, safer, and lower cost of any “cannot fail” systems can be realized.
  • Keywords
    aerospace safety; design engineering; failure analysis; probability; reliability; rocket engines; cannot-fail systems; false negative probability; false positive probability; launch vehicles; liquid rocket engines; redline voting logic design; reliability design feature; reliability-based health monitoring; safety; Logic design; Monitoring; Random variables; Reliability engineering; System performance; Temperature sensors; Health Monitoring System; Redline; Reliability; Reliability-based design; Safety; Voting logics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium (RAMS), 2014 Annual
  • Conference_Location
    Colorado Springs, CO
  • Print_ISBN
    978-1-4799-2847-7
  • Type

    conf

  • DOI
    10.1109/RAMS.2014.6798507
  • Filename
    6798507