逐次モンテカルロ法に基づく宇宙機異常診断法 : パラメータと異常モードのオンライン同時推定によるアプローチ  [in Japanese] Spacecraft Fault Diagnosis by Combined Parameter and Mode Online Estimation with Sequential Monte Carlo Methods  [in Japanese]

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Abstract

We propose a new framework for spacecraft fault diagnosis based on combined parameter and mode online estimation using a sequential Monte Carlo method. Our method can detect and diagnose faults as parameter changes and hence can be considered as a probabilistic approach for the parameter-estimation-based fault diagnosis method which is one of the methodologies on quantitative model-based diagnosis. We derive an algorithm for spacecraft fault diagnosis by describing the parameter-estimation-based fault diagnosis method as a probabilistic inference problem and applying a modified sequential Monte Carlo method, obtained by incorporating fault-modes, risk-sensitivities on modes and kernel-smoothing techniques into the original method, to the problem. The proposed fault-diagnosis algorithm was applied to an artificial data simulating malfunctions of thrusters in rendezvous maneuver of spacecraft, and the feasibility of the method was confirmed.

Journal

  • JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES

    JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES 55(642), 344-354, 2007-07-05

    THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES

References:  20

Cited by:  1

Codes

  • NII Article ID (NAID)
    10019783933
  • NII NACSIS-CAT ID (NCID)
    AA11307372
  • Text Lang
    JPN
  • Article Type
    Journal Article
  • ISSN
    13446460
  • NDL Article ID
    8894027
  • NDL Source Classification
    ZN25(科学技術--運輸工学--航空機・ロケット)
  • NDL Call No.
    Z74-B503
  • Data Source
    CJP  CJPref  NDL  J-STAGE 
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