Fault Diagnosis of Air Handling Units in an Auditorium Using Real Operational Labeled Data across Different Operation Modes

Abstract

AbstractFault detection and diagnosis (FDD) in air handling units (AHUs) is essential for ensuring indoor air quality and prolonging system life span. However, the use of real operational data for FDD has been limited in existing research, largely due to ...Practical ApplicationsThis study demonstrates how nine different machine-learning methods—ranging from traditional approaches like naïve Bayes (NB) and decision trees (DT) to advanced models like artificial neural networks (ANN) and Transformer-based ...