Energy Efficiency Solutions for Buildings: Automated Fault Diagnosis of Air Handling Units Using Generative Adversarial Networks

Energy Efficiency Solutions for Buildings: Automated Fault Diagnosis of Air Handling Units Using Generative Adversarial Networks

Automated fault diagnosis (AFD) for various energy consumption components is one of the main topics for energy efficiency solutions. However, the lack of faulty samples in the training process remains as a difficulty for data-driven AFD of heating, ventilation and air conditioning (HVAC) subsystems,...

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Bibliographic Details
Main Authors:	Chaowen Zhong, Ke Yan, Yuting Dai, Ning Jin, Bing Lou
Format:	Article
Language:	English
Published:	MDPI AG 2019-02-01
Series:	Energies
Subjects:	air handling unit fault diagnosis unsupervised learning generative adversarial network
Online Access:	https://www.mdpi.com/1996-1073/12/3/527

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