[HTML][HTML] Remaining useful life prediction of bearings with attention-awared graph convolutional network
Y Wei, D Wu - Advanced Engineering Informatics, 2023 - Elsevier
Abstract Graph Convolutional Networks (GCNs) have recently been used to predict the
remaining useful life (RUL) of bearings due to its effectiveness in revealing correlations in …
remaining useful life (RUL) of bearings due to its effectiveness in revealing correlations in …
[HTML][HTML] Anomaly classification in industrial internet of things: a review
The fourth industrial revolution (Industry 4.0) has the potential to provide real-time, secure,
and autonomous manufacturing environments. The Industrial Internet of Things (IIoT) is a …
and autonomous manufacturing environments. The Industrial Internet of Things (IIoT) is a …
Generative artificial intelligence and data augmentation for prognostic and health management: Taxonomy, progress, and prospects
S Liu, J Chen, Y Feng, Z Xie, T Pan, J Xie - Expert Systems with …, 2024 - Elsevier
Intelligent fault diagnosis, detection, and prognostics (DDP) for complex equipment
prognostics and health management (PHM) have achieved remarkable breakthroughs …
prognostics and health management (PHM) have achieved remarkable breakthroughs …
Triplet adversarial Learning-driven graph architecture search network augmented with Probsparse-attention mechanism for fault diagnosis under Few-shot & Domain …
Y Chang, J Chen, W Zheng, S He, E Xu - Mechanical Systems and Signal …, 2023 - Elsevier
The consistent probability distribution between training & testing data is one of the
prerequisites for valid intelligent diagnosis models. Nevertheless, the ineluctable distribution …
prerequisites for valid intelligent diagnosis models. Nevertheless, the ineluctable distribution …
ICS anomaly detection based on sensor patterns and actuator rules in spatiotemporal dependency
J Cai, Z Wei, J Luo - IEEE Transactions on Industrial Informatics, 2024 - ieeexplore.ieee.org
Data-driven methods, such as deep learning, are widely adopted to detect cyberattacks for
Industrial control systems (ICSs). Due to the neglect of entity spatial relationships (ESR) …
Industrial control systems (ICSs). Due to the neglect of entity spatial relationships (ESR) …
A spatial–temporal variational graph attention autoencoder using interactive information for fault detection in complex industrial processes
Modern industry processes are typically composed of multiple operating units with reaction
interaction and energy–mass coupling, which result in a mixed time-varying and spatial …
interaction and energy–mass coupling, which result in a mixed time-varying and spatial …
Fourier feature refiner network with soft thresholding for machinery fault diagnosis under highly noisy conditions
Machinery fault diagnosis plays an important role in machine Prognostic and Health
Management (PHM). Leveraging the abundant data obtained from the Industrial Internet of …
Management (PHM). Leveraging the abundant data obtained from the Industrial Internet of …
An interpretable multivariate time-series anomaly detection method in cyber-physical systems based on adaptive mask
The high complexity and wide applications of cyber–physical systems (CPSs) pose a large
requirement on both accuracy and interpretability of the time-series anomaly detection …
requirement on both accuracy and interpretability of the time-series anomaly detection …
Retentive multimodal scale-variable anomaly detection framework with limited data groups for liquid rocket engine
X Zhang, J Wang, J Chen, Z Liu, Y Feng - Measurement, 2022 - Elsevier
Anomaly detection (AD) plays a significant role in the safe and stable operation of liquid
rocket engine (LRE). Facing the fact that LRE operating data are in multiple modalities and …
rocket engine (LRE). Facing the fact that LRE operating data are in multiple modalities and …
Detecting Anomalous Robot Motion in Collaborative Robotic Manufacturing Systems
Anomalous robot motions caused by cyber attacks and inherent defects can lead to task
failures as well as harmful accidents in collaborative human–robot workplaces. External …
failures as well as harmful accidents in collaborative human–robot workplaces. External …