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 …

Comparative study on deep transfer learning strategies for cross-system and cross-operation-condition building energy systems fault diagnosis

G Li, L Chen, J Liu, X Fang - Energy, 2023 - Elsevier
Timely and accurate fault diagnosis (FD) in building energy systems (BESs) can promote
energy efficiency and sustainable development. Especially the heating, ventilating, and air …

Transfer learning-based strategies for fault diagnosis in building energy systems

J Liu, Q Zhang, X Li, G Li, Z Liu, Y Xie, K Li, B Liu - Energy and Buildings, 2021 - Elsevier
Data-driven fault detection and diagnosis (FDD) in building energy systems is typically
limited by the quantity and quality of training data. These methods can be only used for …

A new integrated framework to fault detection and diagnosis of air handling unit: Emphasizing the impact of symptoms

JH Cha, JK Park, CH Chi, SH Yeon, CH Kim… - Energy and …, 2024 - Elsevier
This study proposes a comprehensive framework for Fault Detection and Diagnosis (FDD) in
Air Handling Units (AHU), emphasizing the impact of symptoms associated with various …

Review on fault detection and diagnosis feature engineering in building heating, ventilation, air conditioning and refrigeration systems

G Li, Y Hu, J Liu, X Fang, J Kang - IEEE Access, 2020 - ieeexplore.ieee.org
Faults are inevitable in building energy systems, such as heating, ventilation, air
conditioning and refrigeration systems. With the increasing utilization of these systems, their …

An innovative fault impact analysis framework for enhancing building operations

Y Li, Z O'Neill - Energy and Buildings, 2019 - Elsevier
The primary objective of this paper is to rank building faults based on their impacts on the
building energy penalty and occupant thermal comfort penalty considering multiple faults …

[HTML][HTML] Barriers and drivers for implementation of automatic fault detection and diagnosis in buildings and HVAC systems: An outlook from industry experts

KH Andersen, SP Melgaard, H Johra… - Energy and …, 2024 - Elsevier
This study aimed to assess the current status of Fault Detection and Diagnosis (FDD)
implementation in building and Heating, Ventilation and Air Conditioning (HVAC) systems in …

Real vs. simulated: Questions on the capability of simulated datasets on building fault detection for energy efficiency from a data-driven perspective

J Huang, J Wen, H Yoon, O Pradhan, T Wu, Z O'Neill… - Energy and …, 2022 - Elsevier
Abstract Literature on building Automatic Fault Detection and Diagnosis (AFDD) mainly
focuses on simulated system data due to high expenses and difficulties of obtaining and …

A statistical-based online cross-system fault detection method for building chillers

J Liu, X Li, G Li, C Wu, DC Li, Q Zhang, K Li, H Lu… - Building …, 2022 - Springer
Practical applications of data-driven fault detection (FD) are limited by their portability. The
costs of model training and validation are extremely high when each system requires a …

Unified architecture for data-driven metadata tagging of building automation systems

S Mishra, A Glaws, D Cutler, S Frank, M Azam… - Automation in …, 2020 - Elsevier
This article presents a Unified Architecture (UA) for automated point tagging of Building
Automation System (BAS) data, based on a combination of data-driven approaches …