The emerging concept of digital twins outlines the pathway towards intelligent buildings. Although abundant building data carries an overwhelming amount of information, if not well exploited, the redundant and irrelevant data dimensions result in the overfitting problem and heavy computational load. Taking the fault detection and diagnosis process for building HVAC systems as the case, this paper adopts a symbolic artificial intelligence technique to identify informative sensory dimensions for building-specific faults by exploring the symbolic representation of labelled time-series. To preserve this ad-hoc temporal knowledge in the digital twin ecosystem, machine-readable fault tags are defined to label corresponding sensor entities. A digi...
The enormous energy use of the building sector and the requirements for indoor living quality that a...
A Digital Twin (DT) refers to a digital replica of physical assets, processes and systems. DTs integ...
Building sector account for significant global energy consumption and Heating Ventilation and Air Co...
The emerging concept of digital twins outlines the pathway towards intelligent buildings. Although a...
Emerging Building Information Modelling (BIM) tools and technologies have gradually changed how info...
Smart buildings aim to increase energy performance while maintaining or improving the indoor living ...
The building industry consumes the most energy globally, making it a priority in energy efficiency i...
Effective asset management plays a significant role in delivering the functionality and serviceabili...
In response to the pandemic caused by the COVID-19 virus, many countries adopted control and mitigat...
Building HVAC systems account for more than 30% of annual energy consumption in United States. Howev...
Detection and diagnosis of the malfunction of the heating, ventilation, and air conditioning (HVAC) ...
The energy efficiency of the building HVAC systems can be improved when faults in the running system...
Early fault detection and diagnosis in heating, ventilation and air conditioning (HVAC)systems may r...
The main goal of Fault Detection and Diagnosis (FDD) processes is to identify faults, determine thei...
The building sector accounts for about 40% of the total annual energy consumption in the United Stat...
The enormous energy use of the building sector and the requirements for indoor living quality that a...
A Digital Twin (DT) refers to a digital replica of physical assets, processes and systems. DTs integ...
Building sector account for significant global energy consumption and Heating Ventilation and Air Co...
The emerging concept of digital twins outlines the pathway towards intelligent buildings. Although a...
Emerging Building Information Modelling (BIM) tools and technologies have gradually changed how info...
Smart buildings aim to increase energy performance while maintaining or improving the indoor living ...
The building industry consumes the most energy globally, making it a priority in energy efficiency i...
Effective asset management plays a significant role in delivering the functionality and serviceabili...
In response to the pandemic caused by the COVID-19 virus, many countries adopted control and mitigat...
Building HVAC systems account for more than 30% of annual energy consumption in United States. Howev...
Detection and diagnosis of the malfunction of the heating, ventilation, and air conditioning (HVAC) ...
The energy efficiency of the building HVAC systems can be improved when faults in the running system...
Early fault detection and diagnosis in heating, ventilation and air conditioning (HVAC)systems may r...
The main goal of Fault Detection and Diagnosis (FDD) processes is to identify faults, determine thei...
The building sector accounts for about 40% of the total annual energy consumption in the United Stat...
The enormous energy use of the building sector and the requirements for indoor living quality that a...
A Digital Twin (DT) refers to a digital replica of physical assets, processes and systems. DTs integ...
Building sector account for significant global energy consumption and Heating Ventilation and Air Co...