• Electronics Optics & Control
  • Vol. 31, Issue 10, 76 (2024)
LYU Jiapeng1, SHI Xianjun1, GAO Chao2, and ZHAO Chaolun1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2024.10.013 Cite this Article
    LYU Jiapeng, SHI Xianjun, GAO Chao, ZHAO Chaolun. A Diagnosability Evaluation Method Based on Wasserstein Metric Considering Effect of Noise[J]. Electronics Optics & Control, 2024, 31(10): 76 Copy Citation Text show less
    References

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    [3] ZHAO DAHN C KPASZKE Wet al.Fault diagnosability analysis of twodimensional linear discrete systems[J].IEEE Transactions on Automatic Control202166(2):826832.

    [4] LIU Q YWANG Z DZHANG J Fet al.Necessary and sufficient conditions for fault diagnosability of linear openand closedloop stochastic systems under sensor and actuator faults[J].IEEE Transactions on Automatic Control 202267(8):41784185.

    [5] LIN L XWANG QHE B Wet al.Evaluation of fault diagnosability for nonlinear uncertain system with multiple faults occuring simutaneously[J].Journal of Systems Engineering and Electronics202031(3):634646.

    [6] FU F ZWANG D YLI W Bet al.Datadriven fault identifiability analysis for discretetime dynamic systems[J].International Journal of Systems Science202051(2):402412.

    [11] KUMAR SCHOW T W SPECHT M.Approach to fault identification for electronic products using Mahalanobis distance[J].IEEE Transactions on Instrumentation and Measurement201059(8):20552064.

    [18] PANARETOS V MZEMEL Y.Statistical aspects of Wasserstein distances[J].Annual Review of Statistics and Its Application20196:405431.

    LYU Jiapeng, SHI Xianjun, GAO Chao, ZHAO Chaolun. A Diagnosability Evaluation Method Based on Wasserstein Metric Considering Effect of Noise[J]. Electronics Optics & Control, 2024, 31(10): 76
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