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Title: | Survey of Applications of Machine Learning for Fault Detection, Diagnosis and Prediction in Microclimate Control Systems | Authors: | Daurenbayeva, Nurkamilya Nurlanuly, Almas Atymtayeva, Lyazzat Mendes, Mateus |
Keywords: | microclimate control systems; fault detection and diagnosis; prediction methods; machine learning | Issue Date: | 2023 | Publisher: | MDPI | Project: | Polytechnic Institute of Coimbra within the scope of Regulamento de Apoio à Publicação Científica dos Professores e Investigadores do IPC (Despacho n.º 12598/2020). | Serial title, monograph or event: | Energies | Volume: | 16 | Issue: | 8 | Abstract: | 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. | URI: | https://hdl.handle.net/10316/113482 | ISSN: | 1996-1073 | DOI: | 10.3390/en16083508 | Rights: | openAccess |
Appears in Collections: | I&D ISR - Artigos em Revistas Internacionais |
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