Diagnostic Feature Extraction

Diagnostic Feature Extraction is a systematic process within diagnostic engineering that identifies and isolates measurable indicators from raw sensor or signal data to enable the detection, isolation, and assessment of faults or degradation in components such as actuators, batteries, and hybrid systems.

790

Publications

30.4K

Citations

2.7K

Authors

787

Institutions

Publications per year

2017–2026

517

Authors

2.7K

  1. QH
    Qingbo He

    University of Science and Technology of China, China

    7 publications · 232 citations

    9

    h-index

  2. JK
    Jong-Myon Kim

    University of Ulsan, South Korea

    6 publications · 208 citations

    7

    h-index

  3. CV
    Chi‐Man Vong

    University of Macau, Macao SAR China

    6 publications · 273 citations

    6

    h-index

  4. XZ
    Xiaoxing Zhang

    Wuhan University, China

    6 publications · 328 citations

    6

    h-index

  5. PK
    Pak Kin Wong

    University of Macau, Macao SAR China

    5 publications · 116 citations

    5

    h-index

1–5 of 2.7K

Venues

  1. IEEE Access

    41 publications · 1.9K citations

    26

    h-index

  2. 19

    h-index

  3. Sensors

    26 publications · 1.1K citations

    19

    h-index

  4. Measurement

    18 publications · 1.1K citations

    18

    h-index

  5. IEEE Transactions on Industrial Electronics

    16 publications · 2.1K citations

    17

    h-index

1–5