On-board preventive maintenance for long-life deep-space missions: A model-based analysis

被引:25
|
作者
Tai, AT [1 ]
Alkalai, L [1 ]
Chau, SN [1 ]
机构
[1] IA Tech Inc, Los Angeles, CA 90024 USA
关键词
D O I
10.1109/IPDS.1998.707722
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The long-life deep-space missions associated with NASA's X2000 Advanced Flight Systems Program creates many unprecedented challenges. In particular the stringent constraints on the mass of a spacecraft and the power on-board preclude traditional fault tolerance approaches which rely on extensive component/subsystem replication, calling for novel approaches to mission reliability enhancement. In this paper we present an approach to on-board preventive maintenance which rejuvenates a system via periodical duty switching between system components, slowing down a system's aging process and enhancing mission reliability By exploiting the nondedicated system redundancy, hardware and software rejuvenation are realized simultaneously without significant performance penalty. Our model-based evaluation confirms a potential for significant gains in mission reliability from on-board preventive maintenance and provides to us useful insights about the collective effect of age-dependent failure behavior; residual mission life, risk of unsuccessful maintenance and maintenance frequency on mission reliability.
引用
收藏
页码:196 / 205
页数:10
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  • [1] On-board maintenance for long-life systems
    Tai, AT
    Alkalai, L
    [J]. 1998 IEEE WORKSHOP ON APPLICATION-SPECIFIC SOFTWARE ENGINEERING AND TECHNOLOGY (ASSET 98) - PROCEEDINGS, 1998, : 69 - 74
  • [2] Long-life deep-space applications
    Alkalai, L
    Tai, AT
    [J]. COMPUTER, 1998, 31 (04) : 37 - +
  • [3] On-board preventive maintenance: a design-oriented analytic study for long-life applications
    Tai, AT
    Alkalai, L
    Chau, SN
    [J]. PERFORMANCE EVALUATION, 1999, 35 (3-4) : 215 - 232
  • [4] Model-based autonomy in deep space missions
    Watson, DP
    [J]. IEEE INTELLIGENT SYSTEMS, 2003, 18 (03) : 8 - 11
  • [5] Performance Enhancement of a Long-Life, Low-Power Hall Thruster for Deep-Space Smallsats
    Conversano, Ryan W.
    Goebel, Dan M.
    Hofer, Richard R.
    Arora, Nitin
    [J]. 2017 IEEE AEROSPACE CONFERENCE, 2017,
  • [6] An On-Board Data-Handling Computer for Deep-Space Exploration Built Using Commercial-Off-the-Shelf SRAM-Based FPGAs
    Reorda, M. Sonza
    Violante, M.
    Meinhardt, C.
    Reis, R.
    [J]. IEEE INTERNATIONAL SYMPOSIUM ON DEFECT AND FAULT TOLERANCE VLSI SYSTEMS, PROCEEDINGS, 2009, : 254 - +
  • [7] Integrating Model-based Formal Timing Analysis in the Industrial Development Process of Satellite On-Board Software
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    Rioux, Laurent
    Sordon, Nicolas
    Garcia, Gerald-Emmanuel
    Panunzio, Marco
    [J]. PROCEEDINGS OF THE 2014 2ND INTERNATIONAL CONFERENCE ON MODEL-DRIVEN ENGINEERING AND SOFTWARE DEVELOPMENT (MODELSWARD 2014), 2014, : 619 - 625
  • [8] Establishing a preventive maintenance method for LCX based on analysis of on-board receiving signal level and ground electric field strength data
    Takeshima, Yuya
    Ogata, Satoshi
    Kawata, Junya
    Nomura, Shigehiro
    [J]. Japanese Railway Engineering, 2017, 2017-July (197): : 6 - 9
  • [9] Stochastic Model Analysis of Preventive Maintenance based on Wind Turbine Gearbox Space-Time Evolution
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    [J]. Journal of Applied Science and Engineering, 2022, 25 (04): : 721 - 732
  • [10] Pharmacokinetic Interactions for Drugs with a Long Half-Life-Evidence for the Need of Model-Based Analysis
    Svensson, Elin M.
    Acharya, Chayan
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    Dooley, Kelly E.
    Karlsson, Mats O.
    [J]. AAPS JOURNAL, 2016, 18 (01): : 171 - 179