Attention mechanism in intelligent fault diagnosis of machinery: A review of technique and application
Attention Mechanism has become very popular in the field of mechanical fault diagnosis in
recent years and has become an important technique for scholars to study and apply. The …
recent years and has become an important technique for scholars to study and apply. The …
A systematic guide for predicting remaining useful life with machine learning
T Berghout, M Benbouzid - Electronics, 2022 - mdpi.com
Prognosis and health management (PHM) are mandatory tasks for real-time monitoring of
damage propagation and aging of operating systems during working conditions. More …
damage propagation and aging of operating systems during working conditions. More …
Multi-scale integrated deep self-attention network for predicting remaining useful life of aero-engine
Remaining useful life (RUL) prediction is the core research task of aero-engine prognostics
health management (PHM), which is crucial to promoting the safety, reliability and economy …
health management (PHM), which is crucial to promoting the safety, reliability and economy …
A parallel hybrid neural network with integration of spatial and temporal features for remaining useful life prediction in prognostics
Prediction of remaining useful life (RUL) is an indispensable part of prognostics health
management (PHM) in complex systems. Considering the parallel integration of the spatial …
management (PHM) in complex systems. Considering the parallel integration of the spatial …
Bi-LSTM-based two-stream network for machine remaining useful life prediction
In industry, prognostics and health management (PHM) is used to improve the system
reliability and efficiency. In PHM, remaining useful life (RUL) prediction plays a key role in …
reliability and efficiency. In PHM, remaining useful life (RUL) prediction plays a key role in …
A new supervised multi-head self-attention autoencoder for health indicator construction and similarity-based machinery RUL prediction
Remaining useful life (RUL) prediction plays a significant role in the prognostic and health
management (PHM) of rotating machineries. A good health indicator (HI) can ensure the …
management (PHM) of rotating machineries. A good health indicator (HI) can ensure the …
Deep residual LSTM with domain-invariance for remaining useful life prediction across domains
Currently developed unsupervised domain adaptation (UDA) methods have somewhat
improved the prognostic performance of cross-domain RUL prediction, but only optimizing …
improved the prognostic performance of cross-domain RUL prediction, but only optimizing …
[HTML][HTML] Towards carbon Neutrality: Prediction of wave energy based on improved GRU in Maritime transportation
Z Lv, N Wang, R Lou, Y Tian, M Guizani - Applied Energy, 2023 - Elsevier
Efficient use of renewable energy is one of the critical measures to achieve carbon
neutrality. Countries have introduced policies to put carbon neutrality on the agenda to …
neutrality. Countries have introduced policies to put carbon neutrality on the agenda to …
A new multi-sensor fusion with hybrid Convolutional Neural Network with Wiener model for remaining useful life estimation
With the development of smart manufacturing, the health monitoring of the machines has
become important. Remaining useful life (RUL) estimation, which could predict the future …
become important. Remaining useful life (RUL) estimation, which could predict the future …
Data-driven remaining useful life estimation for milling process: sensors, algorithms, datasets, and future directions
An increase in unplanned downtime of machines disrupts and degrades the industrial
business, which results in substantial credibility damage and monetary loss. The cutting tool …
business, which results in substantial credibility damage and monetary loss. The cutting tool …