Detection and Diagnosis of Dependent Faults That Trigger False Symptoms of Heating and Mechanical Ventilation Systems Using Combined Machine Learning and Rule-Based Techniques

Detection and Diagnosis of Dependent Faults That Trigger False Symptoms of Heating and Mechanical Ventilation Systems Using Combined Machine Learning and Rule-Based Techniques

Detection and diagnosis of the malfunction of the heating, ventilation, and air conditioning (HVAC) systems result in more energy efficient systems with a higher level of indoor comfort. The information from the system combined with the artificial intelligence methods contributes to powerful fault d...

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Bibliographic Details
Main Authors: Behrad Bezyan, Radu Zmeureanu
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Energies
Subjects:
fault detection and diagnosis
heating
air handling unit
building automation system
machine learning
Online Access:https://www.mdpi.com/1996-1073/15/5/1691

Internet

https://www.mdpi.com/1996-1073/15/5/1691

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