Rule-based Diagnostics

Rule-Based Diagnostics is a diagnostic methodology that employs a predefined set of logical rules derived from expert knowledge to identify and isolate faults in air intake systems, distinguishing itself from data-driven or model-based approaches by relying on explicit, human-readable decision criteria.

79

Publications

2.8K

Citations

240

Authors

113

Institutions

Publications per year

2017–2026

15

Authors

240

  1. NK
    Nikolay Korenevskiy

    South-West State University, Russia

    3 publications · 49 citations

    3

    h-index

  2. MS
    Mahdi Salman Alshamasin

    Al-Balqa Applied University, Jordan

    3 publications · 49 citations

    3

    h-index

  3. GM
    Gulnar Mehdi

    Siemens (Germany), Germany

    3 publications · 60 citations

    3

    h-index

  4. RT
    Riad Taha Al-Kasasbeh

    Al-Balqa Applied University, Jordan

    3 publications · 49 citations

    3

    h-index

  5. EK
    Evgeny Kharlamov

    University of Oslo, Norway

    3 publications · 60 citations

    3

    h-index

1–5 of 240

Venues

  1. Expert Systems with Applications

    5 publications · 250 citations

    5

    h-index

  2. PubMed

    Repository · 3 publications · 42 citations

    3

    h-index

  3. Energy and Buildings

    2 publications · 335 citations

    2

    h-index

  4. National Conference on Artificial Intelligence

    Conference · 2 publications · 53 citations

    2

    h-index

  5. AIChE Journal

    2 publications · 403 citations

    2

    h-index

1–5