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    Fault Diagnosis of Air Handling Units in an Auditorium Using Real Operational Labeled Data across Different Operation Modes

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 005::page 04025065-1
    Author:
    Park, Sangkyun
    ,
    Kim, Juhyung
    ,
    Kim, Jaejun
    ,
    Wang, Seunghyeon
    DOI: 10.1061/JCCEE5.CPENG-6677
    Publisher: American Society of Civil Engineers
    Abstract: AbstractFault detection and diagnosis (FDD) in air handling units (AHUs) is essential for ensuring indoor air quality and prolonging system life span. However, the use of real operational data for FDD has been limited in existing research, largely due to ...Practical ApplicationsThis study demonstrates how nine different machine-learning methods—ranging from traditional approaches like naïve Bayes (NB) and decision trees (DT) to advanced models like artificial neural networks (ANN) and Transformer-based ...
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      Fault Diagnosis of Air Handling Units in an Auditorium Using Real Operational Labeled Data across Different Operation Modes

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314415
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    contributor authorPark, Sangkyun
    contributor authorKim, Juhyung
    contributor authorKim, Jaejun
    contributor authorWang, Seunghyeon
    date accessioned2026-08-20T21:24:57Z
    date available2026-08-20T21:24:57Z
    date copyright2025/06/13
    date issued2025
    identifier otherJCCEE5.CPENG-6677.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314415
    description abstractAbstractFault detection and diagnosis (FDD) in air handling units (AHUs) is essential for ensuring indoor air quality and prolonging system life span. However, the use of real operational data for FDD has been limited in existing research, largely due to ...Practical ApplicationsThis study demonstrates how nine different machine-learning methods—ranging from traditional approaches like naïve Bayes (NB) and decision trees (DT) to advanced models like artificial neural networks (ANN) and Transformer-based ...
    publisherAmerican Society of Civil Engineers
    titleFault Diagnosis of Air Handling Units in an Auditorium Using Real Operational Labeled Data across Different Operation Modes
    typeJournal Article
    journal volume39
    journal issue5
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-6677
    journal fristpage04025065-1
    journal lastpage04025065-18
    page18
    treeJournal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 005
    contenttypeFulltext
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