[HTML][HTML] Recurrent neural networks: A comprehensive review of architectures, variants, and applications
Recurrent neural networks (RNNs) have significantly advanced the field of machine learning
(ML) by enabling the effective processing of sequential data. This paper provides a …
(ML) by enabling the effective processing of sequential data. This paper provides a …
A comprehensive review of model compression techniques in machine learning
PV Dantas, W Sabino da Silva Jr, LC Cordeiro… - Applied …, 2024 - Springer
This paper critically examines model compression techniques within the machine learning
(ML) domain, emphasizing their role in enhancing model efficiency for deployment in …
(ML) domain, emphasizing their role in enhancing model efficiency for deployment in …
[HTML][HTML] A parallel deep neural network for intelligent fault diagnosis of drilling pumps
This paper introduces a novel parallel deep neural network for fault diagnosis of drilling
pumps. It integrates the Convolutional Block Attention Module with the AlexNet and …
pumps. It integrates the Convolutional Block Attention Module with the AlexNet and …
Multi-view clustering via high-order bipartite graph fusion
Multi-view clustering is widely applied in engineering and scientific research. It helps reveal
the underlying structures and correlations behind complex multi-view data. Graph-based …
the underlying structures and correlations behind complex multi-view data. Graph-based …
Long-term temporal attention neural network with adaptive stage division for remaining useful life prediction of rolling bearings
P Gao, J Wang, Z Shi, W Ming, M Chen - Reliability Engineering & System …, 2024 - Elsevier
Accurate rolling bearing remaining useful life (RUL) prediction, an effective assurance of the
rotating machinery's safety and reliability, is one of the essential procedures in equipment …
rotating machinery's safety and reliability, is one of the essential procedures in equipment …
Deep multilayer sparse regularization time-varying transfer learning networks with dynamic kullback–leibler divergence weights for mechanical fault diagnosis
Rotating machinery is widely used in industrial production, and its reliable operation is
crucial for ensuring production safety and efficiency. Mechanical equipment often faces the …
crucial for ensuring production safety and efficiency. Mechanical equipment often faces the …
A physics-informed neural network method for identifying parameters and predicting remaining life of fatigue crack growth
W Liao, X Long, C Jiang - International Journal of Fatigue, 2025 - Elsevier
Predicting the remaining life of fatigue cracks is crucial for planning maintenance and repair
strategies to prevent untoward incidents. This paper proposes a novel physics-informed …
strategies to prevent untoward incidents. This paper proposes a novel physics-informed …
Multi-cavitation states diagnosis of the vortex pump using a combined DT-CWT-VMD and BO-LW-KNN based on motor current signals
W Zeng, P Zhou, Y Wu, D Wu, M Xu - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Vortex pumps play a crucial role in industrial and municipal settings by transferring high-
viscosity and particle-laden fluids. However, their performance and reliability are …
viscosity and particle-laden fluids. However, their performance and reliability are …
[HTML][HTML] Physics-informed probabilistic deep network with interpretable mechanism for trustworthy mechanical fault diagnosis
The application of data-driven models based on the neural network is pivotal to developing
an intelligent fault diagnostic flowchart. However, the reliability and interpretability of these …
an intelligent fault diagnostic flowchart. However, the reliability and interpretability of these …
Transformer-based novel framework for remaining useful life prediction of lubricant in operational rolling bearings
S Kim, YH Seo, J Park - Reliability Engineering & System Safety, 2024 - Elsevier
Accurate prediction of the remaining useful life (RUL) of lubricants in rolling bearings is
crucial for maintaining efficient operation of rotating machinery and ensuring timely lubricant …
crucial for maintaining efficient operation of rotating machinery and ensuring timely lubricant …