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Survey of Applications of Machine Learning for Fault Detection, Diagnosis and Prediction in Microclimate Control Systems

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dc.creator Daurenbayeva, Nurkamilya
dc.creator Atymtayeva, Lyazzat
dc.creator Nurlanuly, Almas
dc.creator Mendes, Mateus
dc.date 2023-04-01T00:00:00Z
dc.date.accessioned 2024-08-26T12:08:29Z
dc.date.available 2024-08-26T12:08:29Z
dc.identifier 137ca9fa-a325-4691-bc32-b176cf6844d7
dc.identifier 10.3390/en16083508
dc.identifier https://avesis.sdu.edu.tr/publication/details/137ca9fa-a325-4691-bc32-b176cf6844d7/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/98772
dc.description An appropriate microclimate is one of the most important factors of a healthy and comfortable life. The microclimate of a place is determined by the temperature, humidity and speed of the air. Those factors determine how a person feels thermal comfort and, therefore, they play an essential role in people's lives. Control of microclimate parameters is a very important topic for buildings, as well as greenhouses, where adequate microclimate is fundamental for best-growing results. Microclimate systems require adequate monitoring and maintenance, for their failure or suboptimal performance can increase energy consumption and have catastrophic results. In recent years, Fault Detection and Diagnosis in microclimate systems have been paid more attention. The main goal of those systems is to effectively detect faults and accurately isolate them to a failing component in the shortest time possible. Sometimes it is even possible to predict and anticipate failures, which allows preventing the failures from happening if appropriate measures are taken in time. The present paper reviews the state of the art in fault detection and diagnosis methods. It shows the growing importance of the topic and highlights important open research questions.
dc.language eng
dc.rights info:eu-repo/semantics/openAccess
dc.title Survey of Applications of Machine Learning for Fault Detection, Diagnosis and Prediction in Microclimate Control Systems
dc.type info:eu-repo/semantics/article


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