Redundancy-based Detection

Redundancy-Based Detection is a fault detection method that identifies system failures by comparing multiple equivalent components, channels, or computations to detect discrepancies arising from anomalous behavior.

88

Publications

3.8K

Citations

239

Authors

119

Institutions

Publications per year

2017–2026

9

Variants

Redundancy Based Detection

Authors

239

  1. MA
    Mahesh A. Iyer

    Illinois Institute of Technology, United States

    2 publications · 59 citations

    2

    h-index

  2. WC
    Walter C. Merrill

    Glenn Research Center, United States

    2 publications · 138 citations

    2

    h-index

  3. RF
    Robert F. Lucas

    University of Southern California, United States

    2 publications · 34 citations

    2

    h-index

  4. GL
    Gregory Levitin

    Israel Electric (Israel), Israel

    2 publications · 59 citations

    2

    h-index

  5. JP
    James P. Black

    University of Waterloo, Canada

    2 publications · 124 citations

    2

    h-index

1–5 of 239

Venues

  1. IEEE Transactions on Computers

    7 publications · 351 citations

    7

    h-index

  2. Journal of Guidance Control and Dynamics

    3 publications · 171 citations

    3

    h-index

  3. Reliability Engineering & System Safety

    2 publications · 59 citations

    2

    h-index

  4. International Journal of Systems Science

    2 publications · 29 citations

    2

    h-index

  5. IEEE Transactions on Industry Applications

    2 publications · 46 citations

    2

    h-index

1–5