A novel cap-LSTM model for remaining useful life prediction

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A comprehensive survey of machine remaining useful life prediction approaches based on pattern recognition: taxonomy and challenges

J Zhou, J Yang, Q Qian, Y Qin - Measurement Science and …, 2024 - iopscience.iop.org
Predictive maintenance (PdM) is currently the most cost-effective maintenance method for
industrial equipment, offering improved safety and availability of mechanical assets. A …
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A wiener-based remaining useful life prediction method with multiple degradation patterns

Y Li, X Huang, T Gao, C Zhao, S Li - Advanced Engineering Informatics, 2023 - Elsevier
Remaining useful life prediction is a critical step in prognostics and health management.
Wiener process has been widely used in RUL prediction studies for degradation modelling …
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Dual channel feature attention-based approach for RUL prediction considering the spatiotemporal difference of multisensor data

H Gao, Y Li, Y Zhao, Y Song - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
The remaining useful life (RUL) prediction has always been the key technology to realize
predictive maintenance. An accurate prediction can give decision-makers a reliable …
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Fault diagnosis for limited annotation signals and strong noise based on interpretable attention mechanism

B Chen, T Liu, C He, Z Liu, L Zhang - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Deep learning methods based on vibration signals of rotating machinery have been
continuously developed in fault diagnosis. However, there are still three challenges in …
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Remaining useful life prediction via improved CNN, GRU and residual attention mechanism with soft thresholding

L Zhang, B Wang, X Yuan, P Liang - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Accurate prediction of the remaining useful life (RUL) of mechanical equipment has brought
benefits of the company's reasonable maintenance. However, in real industrial applications …
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Nonlinear slow-varying dynamics-assisted temporal graph transformer network for remaining useful life prediction

Z Gao, W Jiang, J Wu, T Dai, H Zhu - Reliability Engineering & System …, 2024 - Elsevier
Remaining useful life (RUL) plays an important role in the prognostics and health
management of mechanical systems. Recently, deep learning-based methods have been …
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[HTML][HTML] LSTM-based broad learning system for remaining useful life prediction

X Wang, T Huang, K Zhu, X Zhao - Mathematics, 2022 - mdpi.com
Prognostics and health management (PHM) are gradually being applied to production
management processes as industrial production is gradually undergoing a transformation …
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Convolution-graph attention network with sensor embeddings for remaining useful life prediction of turbofan engines

X Chen, M Zeng - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
The remaining useful life (RUL) prediction of turbofan engines is beneficial to safe operation
and maintenance. Turbofan engines generally require multisensors to monitor the …
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A 2-D long short-term memory fusion networks for bearing remaining useful life prediction

Y Li, H Wang, J Li, J Tan - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Remaining useful life (RUL) prediction plays a significant role in prognostic and health
management (PHM), and it can reduce the cost of unwanted failures and improve the …
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Adaptive spatio-temporal graph information fusion for remaining useful life prediction

Y Zhang, Y Li, Y Wang, Y Yang, X Wei - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Accurate remaining useful life (RUL) prediction is of great significance for maintaining the
safety and reliability of many industrial systems. In recent years, deep learning based …
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