A review of the Digital Twin technology for fault detection in buildings
This study aims to evaluate the utilization of technology known as Digital Twin for fault
detection in buildings. The strategy consisted of studying existing applications, difficulties …
detection in buildings. The strategy consisted of studying existing applications, difficulties …
[HTML][HTML] Investigating the influence of maintenance strategies on building energy performance: A systematic literature review
Worldwide, buildings consume a large amount of energy, and a significant share of this
energy is wasted due to system degradation, inappropriate control systems and improper …
energy is wasted due to system degradation, inappropriate control systems and improper …
Monitoring the green evolution of vernacular buildings based on deep learning and multi-temporal remote sensing images
The increasingly mature computer vision (CV) technology represented by convolutional
neural networks (CNN) and available high-resolution remote sensing images (HR-RSIs) …
neural networks (CNN) and available high-resolution remote sensing images (HR-RSIs) …
Leveraging graph convolutional networks for semi-supervised fault diagnosis of HVAC systems in data-scarce contexts
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 …
and implement customized data analytics for smart HVAC fault detection and diagnosis. In …
[HTML][HTML] A whole-building data-driven fault detection and diagnosis approach for public buildings in hot climate regions
A Alghanmi, A Yunusa-Kaltungo - Energy and Built Environment, 2024 - Elsevier
Fault detection and diagnosis (FDD) approaches comprise three main pillars: model-based,
knowledge-based, and data-driven strategies. Data-driven approaches prioritise operational …
knowledge-based, and data-driven strategies. Data-driven approaches prioritise operational …
Sensor Fault Diagnosis and Calibration Techniques in Building Energy Systems: A Review and Future Outlook
K Hu, C Yan, J Ye, Y Xu, Z Zhu, Y Gong - Building and Environment, 2024 - Elsevier
While extensive research has been conducted on fault detection and diagnosis (FDD) and
sensor calibration in building energy systems, a comprehensive overview of the technical …
sensor calibration in building energy systems, a comprehensive overview of the technical …
An uncertainty-tolerant robust distributed control strategy for building cooling water systems considering measurement uncertainties
Distributed control is receiving increasing attention in the domain of building heating,
ventilation, and air-conditioning (HVAC) systems, due to its charactristics of high generality …
ventilation, and air-conditioning (HVAC) systems, due to its charactristics of high generality …
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 …
costs of model training and validation are extremely high when each system requires a …
Sensor impact evaluation in commercial buildings: The case of occupancy-centric controls
Abstract Occupancy-Centric Controls (OCC) are specialized control sequences which
modulate building operation as a function of the sensed occupancy status, thereby leading …
modulate building operation as a function of the sensed occupancy status, thereby leading …
[PDF][PDF] Chicken Swarm Optimization with Deep Learning Based Packaged Rooftop Units Fault Diagnosis Model.
Rooftop units (RTUs) were commonly employed in small commercial buildings that
represent that can frequently do not take the higher level maintenance that chillers receive …
represent that can frequently do not take the higher level maintenance that chillers receive …