Advancing Fault Detection in HVAC Systems: Unifying Gramian Angular Field and 2D Deep Convolutional Neural Networks for Enhanced Performance

Efficiency and comfort in buildings rely on on well-functioning HVAC systems. However, system faults can compromise performance. Modern data-driven fault detection methods, considering diverse techniques, encounter challenges in understanding intricate interactions and adapting to dynamic conditions...

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Detalles Bibliográficos
Autores principales: Tun, Wunna, Wong, Kwok-Wai (Johnny), Ling, Sai-Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536479/
https://www.ncbi.nlm.nih.gov/pubmed/37765746
http://dx.doi.org/10.3390/s23187690

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536479/
https://www.ncbi.nlm.nih.gov/pubmed/37765746
http://dx.doi.org/10.3390/s23187690

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