Soft Sensor Reliability

Soft Sensor Reliability is a performance metric that quantifies the consistency and accuracy of a soft sensor's predictions over time under varying operational conditions, distinguishing it from related metrics by its focus on sustained functional dependability in dynamic industrial environments.

26

Publications

805

Citations

92

Authors

47

Institutions

Publications per year

2017–2026

14

Authors

92

  1. AH
    Aaron Hicks

    Unilever (United Kingdom), United Kingdom

    2 publications · 52 citations

    2

    h-index

  2. KS
    Kai Sun

    Qilu University of Technology, China

    2 publications · 30 citations

    2

    h-index

  3. DZ
    Dongda Zhang

    University of Manchester, United Kingdom

    2 publications · 52 citations

    2

    h-index

  4. AL
    Amanda Lane

    University of Manchester, United Kingdom

    2 publications · 52 citations

    2

    h-index

  5. MM
    Max Mowbray

    University of Manchester, United Kingdom

    2 publications · 52 citations

    2

    h-index

1–5 of 92

Venues

  1. Sensors

    3 publications · 51 citations

    3

    h-index

  2. Information Sciences

    2 publications · 95 citations

    2

    h-index

  3. Environmental Modelling & Software

    1 publications · 25 citations

    1

    h-index

  4. Digital Chemical Engineering

    1 publications · 19 citations

    1

    h-index

  5. 1

    h-index

1–5