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Fault detection and diagnosis for chiller based on feature-recognition model and Kernel Discriminant Analysis

Bibliographic Data

ID21228708
AuthorsXi Bai (0000-0002-2177-8458, Southeast University), Muxing Zhang (0000-0002-0457-8657, Southeast University), Zhenghao Jin (0000-0003-2397-3182, Southeast University), Yilin YOU (0009-0005-6773-7765, Southeast University), Caihua Liang (Southeast University, corresponding author)
Year2022
Volume79
Pages103708
Publication date2022-04-01
Open AccessYes
TypeARTICLE
VenueSustainable Cities and Society (JOURNAL)
Journal identifiersISSN: 2210-6707 • E-ISSN: 2210-6715
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.scs.2022.103708
OpenAlexW4206085263
LanguageEN
Citations received2
References cited26

Chiller · False alarm · Fault detection and isolation · Feature extraction · Feature vector · Kernel Fisher discriminant analysis · Kernel method · Kernel principal component analysis · Linear discriminant analysis · Principal component analysis · Support vector machine · Building Energy and Comfort Optimization · Computer Science · Engineering · Mathematics · Artificial Intelligence

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  • A hybrid predictive sequencing control for multi-chiller plant with considerations of indoor environment control, energy conservation and economical operation cost

    Open Access•Yundan Liao, Gongsheng Huang•Sustainable Cities and Society•2019

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Citations per year0.67
Citation span2023 - 2025 (3)
Highly citedNo

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