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Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling
Designing and deployment of state-of-the-art electric vehicles (EVs) in terms of low cost and
high driving range with appropriate reliability and security are identified as the key towards …
high driving range with appropriate reliability and security are identified as the key towards …
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 …
An integrated multi-head dual sparse self-attention network for remaining useful life prediction
Committed to accident prevention, prediction of remaining useful life (RUL) plays a crucial
role in prognostics health management technology. Conventional convolutional neural …
role in prognostics health management technology. Conventional convolutional neural …
A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings
Remaining useful life (RUL) prediction has been a hotspot in the engineering field, which is
useful to avoid unexpected breakdowns and reduce maintenance costs of the system. Due …
useful to avoid unexpected breakdowns and reduce maintenance costs of the system. Due …
Dual-aspect self-attention based on transformer for remaining useful life prediction
Z Zhang, W Song, Q Li - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
Remaining useful life (RUL) prediction is one of the key technologies of condition-based
maintenance (CBM), which is important to maintain the reliability and safety of industrial …
maintenance (CBM), which is important to maintain the reliability and safety of industrial …
Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE
Prognostics and health management (PHM) is a critical work to ensure the reliable operation
of industrial equipment, in which health status (HS) assessment and remaining useful life …
of industrial equipment, in which health status (HS) assessment and remaining useful life …
Adaptive self-attention LSTM for RUL prediction of lithium-ion batteries
Z Wang, N Liu, C Chen, Y Guo - Information Sciences, 2023 - Elsevier
To achieve an accurate remaining useful life (RUL) prediction for lithium-ion batteries (LIBs),
this study proposes an adaptive self-attention long short-term memory (SA-LSTM) prediction …
this study proposes an adaptive self-attention long short-term memory (SA-LSTM) prediction …
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 …
A survey of predictive maintenance: Systems, purposes and approaches
This paper highlights the importance of maintenance techniques in the coming industrial
revolution, reviews the evolution of maintenance techniques, and presents a comprehensive …
revolution, reviews the evolution of maintenance techniques, and presents a comprehensive …
Remaining useful life prediction of lithium-ion batteries using EM-PF-SSA-SVR with gamma stochastic process
Y Keshun, Q Guangqi, G Yingkui - Measurement Science and …, 2023 - iopscience.iop.org
Due to the complex changes in physicochemical properties of lithium-ion batteries during
the process from degradation to failure, it is difficult for methods based on physical or data …
the process from degradation to failure, it is difficult for methods based on physical or data …