A novel remaining useful life prediction method based on gated attention mechanism capsule...

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Attention mechanism in intelligent fault diagnosis of machinery: A review of technique and application

H Lv, J Chen, T Pan, T Zhang, Y Feng, S Liu - Measurement, 2022 - Elsevier
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 …
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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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Online monitoring model of micro-milling force incorporating tool wear prediction process

P Ding, X Huang, C Zhao, H Liu, X Zhang - Expert Systems with …, 2023 - Elsevier
In modern manufacturing, micro-milling technology plays an essential role in manufacturing
high-precision and complex micro-size parts. Exploring the changing rule of time-varying …
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Real-time reliability analysis of micro-milling processes considering the effects of tool wear

P Ding, X Huang, S Li, C Zhao, X Zhang - Mechanical Systems and Signal …, 2023 - Elsevier
The development of micro-milling technology has promoted the high-precision machining of
complex and small-size parts in modern manufacturing. Accurate cutting force control and …
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A new domain adaption residual separable convolutional neural network model for cross-domain remaining useful life prediction

C Zhao, X Huang, S Li, Y Li, L Sun - ISA transactions, 2024 - Elsevier
In order to realize the remaining useful life (RUL) prediction of mechanical equipment under
different operating conditions, a domain adaption residual separable convolutional neural …
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Dynamic stability simulation of micro-milling under the condition of multi-parameter uncertainty

P Ding, X Huang, X Miao, S Li, H Liu - Probabilistic Engineering Mechanics, 2023 - Elsevier
A stable processing state is the continuous pursuit of manufacturing process engineering.
The premise of predicting the cutting stability boundary lies in understanding the dynamic …
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Gated recurrent unit and temporal convolutional network with soft thresholding and attention mechanism for tool wear prediction

B Li, J Li, X Wu, H Tang - Measurement, 2025 - Elsevier
Predicting tool wear significantly improves cutting efficiency and quality in intelligent
manufacturing. Traditional recurrent neural networks suffer from vanishing or exploding …
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A pre-trained model selection for transfer learning of remaining useful life prediction of grinding wheel

SH Park, KS Park - Journal of Intelligent Manufacturing, 2024 - Springer
Grinding tools can be used for over 90% of their lifetime, but most practical production tools
are replaced between 50 and 80%. Accurate tool condition monitoring, which can monitor …
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A new method for remaining useful life prediction by implementing joint learning of sensor dynamic graph and spatio-temporal features

S Lv, S Liu - Measurement Science and Technology, 2023 - iopscience.iop.org
Accurate implementation of remaining useful life (RUL) prediction of equipment is essential
for health management and maintenance decisions. Advances in sensing and big data …
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