A review of computing-based automated fault detection and diagnosis of heating, ventilation and air conditioning systems

J Chen, L Zhang, Y Li, Y Shi, X Gao, Y Hu - Renewable and Sustainable …, 2022 - Elsevier
Abstract Faults in Heating, Ventilation, and Air Conditioning (HVAC) systems of buildings
result in significant energy waste in building operation. With fast-growing sensing data …

Artificial intelligence-based fault detection and diagnosis methods for building energy systems: Advantages, challenges and the future

Y Zhao, T Li, X Zhang, C Zhang - Renewable and Sustainable Energy …, 2019 - Elsevier
Artificial intelligence has showed powerful capacity in detecting and diagnosing faults of
building energy systems. This paper aims at making a comprehensive literature review of …

[HTML][HTML] A Digital Twin predictive maintenance framework of air handling units based on automatic fault detection and diagnostics

HH Hosamo, PR Svennevig, K Svidt, D Han… - Energy and …, 2022 - Elsevier
The building industry consumes the most energy globally, making it a priority in energy
efficiency initiatives. Heating, ventilation, and air conditioning (HVAC) systems create the …

Bayesian networks in fault diagnosis

B Cai, L Huang, M Xie - IEEE Transactions on industrial …, 2017 - ieeexplore.ieee.org
Fault diagnosis is useful in helping technicians detect, isolate, and identify faults, and
troubleshoot. Bayesian network (BN) is a probabilistic graphical model that effectively deals …

A review of fault detection and diagnostics methods for building systems

W Kim, S Katipamula - Science and Technology for the Built …, 2018 - Taylor & Francis
The current article provides a summary of automated fault detection and diagnostics studies
published since 2004 that are relevant to the commercial buildings sector. The review …

A comprehensive review: Fault detection, diagnostics, prognostics, and fault modeling in HVAC systems

V Singh, J Mathur, A Bhatia - International Journal of Refrigeration, 2022 - Elsevier
This review study examines the latest research and developments in the fault detection and
diagnostics of Heating Ventilation and Air Conditioning (HVAC) systems. This review …

An explainable one-dimensional convolutional neural networks based fault diagnosis method for building heating, ventilation and air conditioning systems

G Li, Q Yao, C Fan, C Zhou, G Wu, Z Zhou… - Building and …, 2021 - Elsevier
Due to the frequently changed outdoor weather conditions and indoor requirements,
heating, ventilation and air conditioning (HVAC) experiences faulty operations inevitably …

Building simulation: Ten challenges

T Hong, J Langevin, K Sun - Building simulation, 2018 - Springer
Buildings consume more than one-third of the world's primary energy. Reducing energy use
and greenhouse-gas emissions in the buildings sector through energy conservation and …

A real-time fault diagnosis methodology of complex systems using object-oriented Bayesian networks

B Cai, H Liu, M Xie - Mechanical Systems and Signal Processing, 2016 - Elsevier
Bayesian network (BN) is a commonly used tool in probabilistic reasoning of uncertainty in
industrial processes, but it requires modeling of large and complex systems, in situations …

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 …