Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective
Accurate remaining useful life (RUL) prediction has gained increasing attention in modern
maintenance management. Considering the data privacy requirements of distributed multi …
maintenance management. Considering the data privacy requirements of distributed multi …
A bidirectional long short-term memory autoencoder transformer for remaining useful life estimation
Estimating the remaining useful life (RUL) of aircraft engines holds a pivotal role in
enhancing safety, optimizing operations, and promoting sustainability, thus being a crucial …
enhancing safety, optimizing operations, and promoting sustainability, thus being a crucial …
Overview of high-power LED life prediction algorithms
G Sun, Y Bai, Z Zhang - Frontiers in Sustainable Energy Policy, 2024 - frontiersin.org
Life prediction significantly influences the reliability of LED light sources. While high-power
LED light sources theoretically offer a lifespan of up to 100,000 h, irreversible damage to …
LED light sources theoretically offer a lifespan of up to 100,000 h, irreversible damage to …
Robust-MBDL: A Robust Multi-Branch Deep-Learning-Based Model for Remaining Useful Life Prediction of Rotating Machines
Predictive maintenance (PdM) is one of the most powerful maintenance techniques based
on the estimation of the remaining useful life (RUL) of machines. Accurately estimating the …
on the estimation of the remaining useful life (RUL) of machines. Accurately estimating the …
A feature separation transfer network with contrastive metric for remaining useful life prediction under different working conditions
Y Lyu, Z Shen, N Zhou, Z Wen, C Chen - Reliability Engineering & System …, 2025 - Elsevier
Data-driven remaining useful life (RUL) prediction methods have demonstrated excellent
performance in recent years. Among these, transfer learning (TL) is widely adopted for cross …
performance in recent years. Among these, transfer learning (TL) is widely adopted for cross …
Bearings remaining useful life prediction across equipment-operating conditions based on multisource-multitarget domain adaptation
L Shuang, X Shen, J Zhou, H Miao, Y Qiao, G Lei - Measurement, 2024 - Elsevier
Transfer learning has been extensively used to build bearings remaining useful life
prediction models under multi-operating conditions. However, most models only consider …
prediction models under multi-operating conditions. However, most models only consider …
Enhancing Aircraft Safety through Advanced Engine Health Monitoring with Long Short-Term Memory
S Yildirim, ZA Rana - Sensors, 2024 - mdpi.com
Predictive maintenance holds a crucial role in various industries such as the automotive,
aviation and factory automation industries when it comes to expensive engine upkeep …
aviation and factory automation industries when it comes to expensive engine upkeep …
A novel transfer learning approach based on deep degradation feature adaptive alignment for remaining useful life prediction with multi-condition data
Y Lyu, Z Wen, A Chen - Journal of Intelligent Manufacturing, 2023 - Springer
Transfer learning (TL) plays an important role in the remaining useful life (RUL) prediction
when the training data and testing data are collected under different operating conditions …
when the training data and testing data are collected under different operating conditions …
An unsupervised subdomain adversarial network for remaining useful life estimation under various conditions
Z Wen, Y Lyu, A Chen - Quality and Reliability Engineering …, 2024 - Wiley Online Library
Abstract Domain adaptation is a transfer learning method that is widely applied for
remaining useful life (RUL) prediction under different operating conditions. However, current …
remaining useful life (RUL) prediction under different operating conditions. However, current …
Bidirectional LSTM Autoencoder Transformer for Remaining Useful Life Estimation
Abstract Estimating the Remaining Useful Life (RUL) of aircraft engines holds a pivotal role
in enhancing safety, optimizing operations, and promoting sustainability, thus being a crucial …
in enhancing safety, optimizing operations, and promoting sustainability, thus being a crucial …