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 …
A novel data augmentation strategy for aeroengine multitask prognosis based on degradation behavior extrapolation and diversity-usability trade-off
XY Li, DJ Cheng, XF Fang, CY Zhang… - Reliability Engineering & …, 2024 - Elsevier
For aeroengine multitask prognosis, dataset's quantity and quality significantly affect the
prediction performance. Due to the insufficiency and high redundancy of collected data, data …
prediction performance. Due to the insufficiency and high redundancy of collected data, data …
A novel hybrid STL-transformer-ARIMA architecture for aviation failure events prediction
H Zeng, H Zhang, J Guo, B Ren, L Cui, J Wu - Reliability Engineering & …, 2024 - Elsevier
Accurate prediction of aviation failure events helps to anticipate future safety situations and
protect against further uncontrollable accidents. However, the large sample size, complex …
protect against further uncontrollable accidents. However, the large sample size, complex …
Remaining lifespan prediction on multiple types of hard disks under conditions of data imbalance
Q Wang, X Wang, F Wang, H Liu, J Gou… - Computers and Electrical …, 2024 - Elsevier
Most of the previous regression models for predicting the remaining useful life (RUL) of hard
disks primarily focused on failure data obtained through SMART monitoring. However …
disks primarily focused on failure data obtained through SMART monitoring. However …
A Two-Stage Attention-Based Hierarchical Transformer for Turbofan Engine Remaining Useful Life Prediction
The accurate estimation of the remaining useful life (RUL) for aircraft engines is essential for
ensuring safety and uninterrupted operations in the aviation industry. Numerous …
ensuring safety and uninterrupted operations in the aviation industry. Numerous …
Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Prediction
E Fu, Y Hu, K Peng, Y Chu - arXiv preprint arXiv:2401.16462, 2024 - arxiv.org
The problem of the Remaining Useful Life (RUL) prediction, aiming at providing an accurate
estimate of the remaining time from the current predicting moment to the complete failure of …
estimate of the remaining time from the current predicting moment to the complete failure of …
Digital implementation method and research on thermal life loss of power transformers
L Dongxue, L Yan, J Jialin, J Yongteng… - IET Electric Power …, 2024 - Wiley Online Library
The report of the 20th National Congress of the Communist Party of China pointed out that it
is necessary to accelerate the construction of digital China, and actively develop equipment …
is necessary to accelerate the construction of digital China, and actively develop equipment …
A Two-Stage Attention Based Hierarchical Transformer for Remaining Useful Life Prediction
Abstract Accurate estimation of Remaining Useful Life (RUL) for aircraft engines is essential
for ensuring safety and uninterrupted operations in the aviation industry. Numerous …
for ensuring safety and uninterrupted operations in the aviation industry. Numerous …
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 …
Turbofan Engine Remaining Useful Life Prediction Based on Multi-Task Uncertainty Analysis Model
R Li, H Zhan, J Yu, R Wang - Available at SSRN 4853896 - papers.ssrn.com
Simultaneously performing remaining useful life (RUL) interval and fast health state
classification prediction of turbofan engine can improve model deployment's efficiency and …
classification prediction of turbofan engine can improve model deployment's efficiency and …