Concepedia

Learning-based Fault Recovery

Learning-Based Fault Recovery is a fault recovery paradigm that employs machine learning models to autonomously detect, diagnose, and mitigate system faults by leveraging historical or real-time data to adapt and improve recovery strategies over time.

9

Publications

266

Citations

34

Authors

16

Institutions

Publications per year

2017–2026

7

Parents

Publications

9

Learn-to-Recover: Retrofitting UAVs with Reinforcement Learning-Assisted Flight Control Under Cyber-Physical Attacks

Fan Fei, Zhan Tu, Dongyan Xu et al. · 2020 · 73 citations

, , +17

Intelligent Fault-Prediction Assisted Self-Healing for Embryonic Hardware

Kasem Khalil, Omar Eldash, Ashok Kumar et al. · IEEE Transactions on Biomedical Circuits and Systems · 2020 · 45 citations

, , +17

PID-Piper: Recovering Robotic Vehicles from Physical Attacks

Pritam Dash, Guanpeng Li, Zitao Chen et al. · 2021 · 41 citations

, , +15

Adaptive Causal Models for Fault Diagnosis and Recovery in Multi-Robot Teams

Lynne E. Parker, Balajee Kannan · 2006 · 28 citations

, , +17

Active learning for new-fault class sample recovery in electrical submersible pump fault diagnosis

Luciano Henrique Peixoto da Silva, Lucas Henrique Sousa Mello, Alexandre Rodrigues et al. · Expert Systems with Applications · 2022 · 23 citations

, , +15

1–5 of 9

Authors

34

  1. MK
    Mehdi Karimibiuki

    University of British Columbia, Canada

    1 publications · 41 citations

    1

    h-index

  2. MB
    Magdy Bayoumi

    University of Louisiana at Lafayette, United States

    1 publications · 45 citations

    1

    h-index

  3. QS
    Qingyu Su

    Northeast Electric Power University, China

    1 publications · 13 citations

    1

    h-index

  4. BW
    Bin Wu

    Northwestern Polytechnical University, China

    1 publications · 11 citations

    1

    h-index

  5. QZ
    Qijun Zhu

    Pennsylvania State University, United States

    1 publications · 20 citations

    1

    h-index

1–5 of 34

Institutions

16

  1. Microsoft Research Asia (China)

    Beijing, China

    1 h-index

    1 publications

    20 citations

  2. Purdue University West Lafayette

    West Lafayette, United States

    1 h-index

    1 publications

    73 citations

  3. Kumoh National Institute of Technology

    Gumi, South Korea

    1 h-index

    3 publications

    36 citations

  4. University of Iowa

    Iowa City, United States

    1 h-index

    1 publications

    41 citations

  5. Arizona State University

    Tempe, United States

    1 h-index

    2 publications

    22 citations

  6. Microsoft (United States)

    Redmond, United States

    1 h-index

    1 publications

    20 citations

  7. Cardiff University

    Cardiff, United Kingdom

    1 h-index

    2 publications

    22 citations

  8. Northeast Electric Power University

    Jilin City, China

    1 h-index

    3 publications

    39 citations

1–8 of 16

Venues

  1. IEEE Sensors Journal

    1 publications · 11 citations

    1

    h-index

  2. Journal of the Franklin Institute

    1 publications · 13 citations

    1

    h-index

  3. 1

    h-index

  4. Expert Systems with Applications

    1 publications · 23 citations

    1

    h-index

1–4