Graph neural network-based fault diagnosis: a review
Graph neural network (GNN)-based fault diagnosis (FD) has received increasing attention in
recent years, due to the fact that data coming from several application domains can be …
recent years, due to the fact that data coming from several application domains can be …
Scientometric mapping of smart building research: Towards a framework of human-cyber-physical system (HCPS)
This paper reviews the state-of-the-art smart building research by a bibliometric analysis, a
content analysis, and a qualitative review. The bibliometric analysis of 364 academic papers …
content analysis, and a qualitative review. The bibliometric analysis of 364 academic papers …
A digital twin architecture for real-time and offline high granularity analysis in smart buildings
L Hadjidemetriou, N Stylianidis, D Englezos… - Sustainable Cities and …, 2023 - Elsevier
Smart buildings aim to create a safe, comfortable and sustainable environment for the
occupants while increasing the energy performance of the building to reduce the …
occupants while increasing the energy performance of the building to reduce the …
Sliding mode observer based fault identification in automatic vision system of robot
It is analyzed the possibility to apply sliding mode observers for fault identification and
consecutively the improvement of Technical Vision System (TVS) functioning in the tasks of …
consecutively the improvement of Technical Vision System (TVS) functioning in the tasks of …
Integrated inspection on PCB manufacturing in cyber–physical–social systems
The printed circuit boards (PCBs) industry is one of the fastest-growing industries in recent
decades. The PCB manufacturing process is highly complicated and severely affected by …
decades. The PCB manufacturing process is highly complicated and severely affected by …
A review of data-driven approaches and techniques for fault detection and diagnosis in HVAC systems
Heating, ventilation, and air conditioning (HVAC) systems are a popular research topic
because buildings' energy is mostly used for heating and/or cooling. These systems heavily …
because buildings' energy is mostly used for heating and/or cooling. These systems heavily …
Joint state and fault estimation of complex networks under measurement saturations and stochastic nonlinearities
In this paper, the joint state and fault estimation problem is investigated for a class of discrete-
time complex networks with measurement saturations and stochastic nonlinearities. The …
time complex networks with measurement saturations and stochastic nonlinearities. The …
Fault detection and diagnosis encyclopedia for building systems: a systematic review
This review aims to provide an up-to-date, comprehensive, and systematic summary of fault
detection and diagnosis (FDD) in building systems. The latter was performed through a …
detection and diagnosis (FDD) in building systems. The latter was performed through a …
Adaptive fault diagnosis for simultaneous sensor faults in structural health monitoring systems
Structural health monitoring (SHM) is a non-destructive testing method that supports the
condition assessment and lifetime estimation of civil infrastructure. Sensor faults may result …
condition assessment and lifetime estimation of civil infrastructure. Sensor faults may result …
Generating adversarial samples on multivariate time series using variational autoencoders
Classification models for multivariate time series have drawn the interest of many
researchers to the field with the objective of developing accurate and efficient models …
researchers to the field with the objective of developing accurate and efficient models …