AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …
components and functionalities required for analyzing and operating buildings. However, in …
A review of computing-based automated fault detection and diagnosis of heating, ventilation and air conditioning systems
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 …
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 …
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 **e, 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 …
limited by the quantity and quality of training data. These methods can be only used for …
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 …
heating, ventilation and air conditioning (HVAC) experiences faulty operations inevitably …
Interpretation of convolutional neural network-based building HVAC fault diagnosis model using improved layer-wise relevance propagation
G Li, L Wang, L Shen, L Chen, H Cheng, C Xu, F Li - Energy and Buildings, 2023 - Elsevier
Convolutional neural networks (CNNs) have been widely utili sed for fault diagnosis (FD) in
building heating, ventilation, and air conditioning (HVAC) systems. Despite achieving high …
building heating, ventilation, and air conditioning (HVAC) systems. Despite achieving high …
Similarity learning-based fault detection and diagnosis in building HVAC systems with limited labeled data
Abstract Machine learning has been widely adopted for fault detection and diagnosis (FDD)
in heating, ventilation and air conditioning (HVAC) systems over the past decade due to the …
in heating, ventilation and air conditioning (HVAC) systems over the past decade due to the …
One step forward for smart chemical process fault detection and diagnosis
X Bi, R Qin, D Wu, S Zheng, J Zhao - Computers & Chemical Engineering, 2022 - Elsevier
Process fault detection and diagnosis (FDD) is an essential tool to ensure safe production in
chemical industries. After decades of development, despite the promising performance of …
chemical industries. After decades of development, despite the promising performance of …