Deep Learning-Driven Automated Fault Detection and Diagnostics Based on a Contextual Environment: A Case Study of HVAC System

Deep Learning-Driven Automated Fault Detection and Diagnostics Based on a Contextual Environment: A Case Study of HVAC System

Indoor thermal comfort affects occupants’ daily activities and health. HVAC systems are necessary to control thermal comfort quality. Tracking and monitoring the effectiveness of HVAC system engines are critical activities because they ensure that the system can produce suitable indoor thermal comfo...

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Bibliographic Details
Main Authors: Kanjana Haruehansapong, Wisit Roungprom, Mallika Kliangkhlao, Kirttayoth Yeranee, Bukhoree Sahoh
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Buildings
Subjects:
machine learning
artificial intelligence
Internet of Things
thermal comfort
building engineering
Online Access:https://www.mdpi.com/2075-5309/13/1/27

Internet

https://www.mdpi.com/2075-5309/13/1/27

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