An online data-driven fault diagnosis method for air handling units by rule and convolutional neural networks

• Main Authors: Liao, Huanyue, Cai, Wenjian, Cheng, Fanyong, Dubey, Swapnil, Rajesh, Pudupadi Balachander
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Convolutional Neural Network; HVAC System Air Handling Unit
• Online Access: https://hdl.handle.net/10356/153931
• Institution: Nanyang Technological University

The stable operation of air handling units (AHU) is critical to ensure high efficiency and to extend the lifetime of the heating, ventilation, and air conditioning (HVAC) systems of buildings. In this paper, an online data-driven diagnosis method for AHU in an HVAC system is proposed and elaborated....