A survey on AI-driven digital twins in industry 4.0: Smart manufacturing and advanced robotics
Digital twin (DT) and artificial intelligence (AI) technologies have grown rapidly in recent
years and are considered by both academia and industry to be key enablers for Industry 4.0 …
years and are considered by both academia and industry to be key enablers for Industry 4.0 …
A review of GNSS-independent UAV navigation techniques
N Gyagenda, JV Hatilima, H Roth, V Zhmud - Robotics and Autonomous …, 2022 - Elsevier
Abstract Application of UAVs (Unmanned Aerial Vehicles) in environments devoid of GNSS
(Global Navigation Satellite System) service has motivated research into GNSS …
(Global Navigation Satellite System) service has motivated research into GNSS …
Digital twin-driven online anomaly detection for an automation system based on edge intelligence
Accurate anomaly detection is critical to the early detection of potential failures of industrial
systems and proactive maintenance schedule management. There are some existing …
systems and proactive maintenance schedule management. There are some existing …
Unsupervised anomaly detection of industrial robots using sliding-window convolutional variational autoencoder
T Chen, X Liu, B **a, W Wang, Y Lai - IEEE Access, 2020 - ieeexplore.ieee.org
With growing dependence of industrial robots, a failure of an industrial robot may interrupt
current operation or even overall manufacturing workflows in the entire production line …
current operation or even overall manufacturing workflows in the entire production line …
On fault detection and diagnosis in robotic systems
The use of robots in our daily lives is increasing. Different types of robots perform different
tasks that are too dangerous or too dull to be done by humans. These sophisticated …
tasks that are too dangerous or too dull to be done by humans. These sophisticated …
Multivariate regression-based fault detection and recovery of UAV flight data
B Wang, D Liu, Y Peng, X Peng - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With the wide applications of the unmanned aerial vehicle (UAV), operating safety becomes
a critical issue. Thus, fault detection (FD) has been focused, which can realize fault alarm …
a critical issue. Thus, fault detection (FD) has been focused, which can realize fault alarm …
Graph neural network approach for anomaly detection
L **e, D Pi, X Zhang, J Chen, Y Luo, W Yu - Measurement, 2021 - Elsevier
To ensure the stable long-time operation of satellites, evaluate the satellite status, and
improve satellite maintenance efficiency, we propose an anomaly detection method based …
improve satellite maintenance efficiency, we propose an anomaly detection method based …
In-situ fault diagnosis for the harmonic reducer of industrial robots via multi-scale mixed convolutional neural networks
The faults of harmonic reducers result in excessive vibration affecting the joint stabilization of
industrial robots and manufacturing quality. In-situ fault diagnosis of harmonic reducers can …
industrial robots and manufacturing quality. In-situ fault diagnosis of harmonic reducers can …
Predictive maintenance: A novel framework for a data-driven, semi-supervised, and partially online prognostic health management application in industries
Prognostic Health Management (PHM) is a predictive maintenance strategy, which is based
on Condition Monitoring (CM) data and aims to predict the future states of machinery. The …
on Condition Monitoring (CM) data and aims to predict the future states of machinery. The …
A survey of unmanned aerial vehicle flight data anomaly detection: Technologies, applications, and future directions
Flight data anomaly detection plays an imperative role in the safety and maintenance of
unmanned aerial vehicles (UAVs). It has attracted extensive attention from researchers …
unmanned aerial vehicles (UAVs). It has attracted extensive attention from researchers …