Feature Extraction For Diagnostics

Feature Extraction for Diagnostics is a computational methodology within diesel engine diagnostics that identifies and isolates quantifiable signal characteristics from raw sensor data to enable the detection, isolation, and analysis of engine faults.

804

Publications

36.9K

Citations

2.6K

Authors

671

Institutions

Publications per year

2017–2026

538

Authors

2.6K

  1. JK
    Jong-Myon Kim

    University of Ulsan, South Korea

    13 publications · 560 citations

    13

    h-index

  2. SL
    Shunming Li

    Nanjing University of Aeronautics and Astronautics, China

    12 publications · 373 citations

    11

    h-index

  3. JW
    Jinrui Wang

    Shandong University of Science and Technology, China

    8 publications · 171 citations

    8

    h-index

  4. FG
    Fengshou Gu

    University of Huddersfield, United Kingdom

    7 publications · 307 citations

    7

    h-index

  5. JZ
    Jianhua Zhong

    University of Macau, Macao SAR China

    7 publications · 240 citations

    7

    h-index

1–5 of 2.6K

Venues

  1. Measurement

    40 publications · 3.1K citations

    29

    h-index

  2. 26

    h-index

  3. Mechanical Systems and Signal Processing

    MSSP · 28 publications · 2.7K citations

    26

    h-index

  4. IEEE Access

    44 publications · 1.6K citations

    25

    h-index

  5. Sensors

    40 publications · 1.4K citations

    24

    h-index

1–5