In recent years, slow feature analysis (SFA) has been successfully employed to deal with the
air handling unit (AHU) system's time-varying dynamic properties. However, since the …

Data-driven classification models have gained increasing popularity for fault detection and
diagnosis (FDD) tasks considering their advantages in implementation flexibility and …

Air handling unit (AHU) is a typical special batch control process, exhibiting strong nonlinear
property and two-directional dynamic characteristics which are the time-wise and batch-wise …

The continuous accumulation of operational data has provided an ideal platform to devise
and implement customized data analytics for smart HVAC fault detection and diagnosis. In …

The scientific community has shown considerable interest in Industry 4.0 due to its capacity
to revolutionise the manufacturing sector through digitalisation and data-driven decision …

Building heating, ventilation, and air conditioning (HVAC) systems are affected by several
errors that can cause thermal discomfort to occupants and waste energy in buildings …

The objective of this chapter is to analyze the reliability of the dataset for early fault diagnosis
of air handling unit (AHU) of air conditioning and mechanical ventilation/heating, ventilation …

Efficient facility maintenance management enhances operational functionality while
reducing costs. In practice, however, the lack of (i) historical work order records or their …

ABSTRACT Fault Detection and Diagnostic (FDD) is an effective method to manage building
energy use by correcting the wrong operation or malfunction. However, there are still …

ABSTRACT The Air Handling Unit (AHU) system is influenced by various types of errors,
which can cause thermal discomfort of occupants and energy waste in building. Therefore …