Sensor Drift Detection

Sensor Drift Detection is a diagnostic method in sensor data quality assessment that identifies gradual, unintended deviations in sensor output over time from true values, distinguishing itself by focusing on temporal inconsistency patterns indicative of sensor degradation or calibration loss rather than transient faults or noise.

55

Publications

2.4K

Citations

177

Authors

76

Institutions

Publications per year

2017–2026

23

Authors

177

  1. MT
    Maen Takruri

    American University of Ras Al Khaimah, United Arab Emirates

    5 publications · 141 citations

    5

    h-index

  2. MP
    Marimuthu Palaniswami

    The University of Melbourne, Australia

    5 publications · 144 citations

    5

    h-index

  3. SR
    Sutharshan Rajasegarar

    The University of Melbourne, Australia

    5 publications · 144 citations

    5

    h-index

  4. HY
    Huazhong Yang

    Tsinghua University, China

    4 publications · 169 citations

    4

    h-index

  5. AY
    Anqi Yang

    Tsinghua University, China

    4 publications · 169 citations

    4

    h-index

1–5 of 177

Venues

  1. Sensors and Actuators B Chemical

    5 publications · 212 citations

    5

    h-index

  2. IEEE Sensors Journal

    4 publications · 163 citations

    4

    h-index

  3. Expert Systems with Applications

    3 publications · 424 citations

    3

    h-index

  4. Computers & Electrical Engineering

    2 publications · 75 citations

    2

    h-index

  5. ACM Transactions on Sensor Networks

    2 publications · 26 citations

    2

    h-index

1–5