A review of fault detection and diagnosis methodologies on air-handling units

Y Yu, D Woradechjumroen, D Yu - Energy and Buildings, 2014 - Elsevier
Faults occurring in improper routine operations and poor preventive maintenance of heating,
ventilating, air conditioning, and refrigeration systems (HVAC&R) equipment result in …

Computational intelligence techniques for HVAC systems: A review

MW Ahmad, M Mourshed, B Yuce, Y Rezgui - Building Simulation, 2016 - Springer
Buildings are responsible for 40% of global energy use and contribute towards 30% of the
total CO2 emissions. The drive to reduce energy use and associated greenhouse gas …

A review of recent developments and technological advancements of variable-air-volume (VAV) air-conditioning systems

GS Okochi, Y Yao - Renewable and Sustainable Energy Reviews, 2016 - Elsevier
This study reviewed VAV systems modeling and simulations, control strategies and
optimization tools, the airflow characteristics of VAV systems, some common VAV systems׳ …‎

A decision tree based data-driven diagnostic strategy for air handling units

R Yan, Z Ma, Y Zhao, G Kokogiannakis - Energy and Buildings, 2016 - Elsevier
Data-driven methods for fault detection and diagnosis of air handling units (AHUs) have
attracted wide attention as they do not require high-level expert knowledge of the system of …

AHU sensor fault diagnosis using principal component analysis method

S Wang, F Xiao - Energy and Buildings, 2004 - Elsevier
The paper presents a strategy based on the principal component analysis (PCA) method,
which is developed to detect and diagnose the sensor faults in typical air-handling units …

Robust model-based fault diagnosis for air handling units

T Mulumba, A Afshari, K Yan, W Shen, LK Norford - Energy and Buildings, 2015 - Elsevier
Fault detection and diagnosis (FDD) for heating, ventilation and air conditioning (HVAC)
equipment significantly impact energy consumption in both residential and commercial …

Subsystem level fault diagnosis of a building's air-handling unit using general regression neural networks

WY Lee, JM House, NH Kyong - Applied Energy, 2004 - Elsevier
This paper describes a scheme for on-line fault detection and diagnosis (FDD) at the
subsystem level in an Air-Handling Unit (AHU). The approach consists of process …

An expert rule set for fault detection in air-handling units/discussion

JM House, H Vaezi-Nejad… - Ashrae Transactions, 2001 - search.proquest.com
This paper presents an expert rule set for air-handling units (AHUs) and examines the
performance of the rule set using simulation and field data. APAR (air-handling unit …

Sensor fault detection and diagnosis for a water source heat pump air-conditioning system based on PCA and preprocessed by combined clustering

H Zhang, H Chen, Y Guo, J Wang, G Li… - Applied Thermal …, 2019 - Elsevier
Abstracts Sensors play essential roles in industrial automatic control systems. The faulty or
inaccurate sensors may cause uncomfortable thermal environments, shortened component …

A hybrid FDD strategy for local system of AHU based on artificial neural network and wavelet analysis

B Fan, Z Du, X Jin, X Yang, Y Guo - Building and environment, 2010 - Elsevier
This paper presents a self-adaptive sensor fault detection and diagnosis (FDD) strategy for
local system of air handing unit (AHU). This hybrid strategy consists of two stages. In the first …