Multidimensional attention domain adaptive method incorporating degradation prior for machine remaining useful life prediction
S Xie, W Cheng, Z Nie, J Xing, X Chen… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Machinery remaining useful life (RUL) prediction has important guiding significance for
prognostics and health management. In order to improve the prediction accuracy of the RUL …
prognostics and health management. In order to improve the prediction accuracy of the RUL …
A dual attention LSTM lightweight model based on exponential smoothing for remaining useful life prediction
J Shi, J Zhong, Y Zhang, B Xiao, L Xiao… - Reliability Engineering & …, 2024 - Elsevier
Accurate remaining useful life (RUL) prediction of degrading systems is crucial to predict
failures in advance and develop maintenance plans. As systems degrade gradually over …
failures in advance and develop maintenance plans. As systems degrade gradually over …
Single gated RNN with differential weighted information storage mechanism and its application to machine RUL prediction
The full-life data of machine is complex and abundant, requiring specialized and deep
predictive models for accurate forecasts. However, achieving high prediction accuracy often …
predictive models for accurate forecasts. However, achieving high prediction accuracy often …
[HTML][HTML] An explainable artificial intelligence approach for remaining useful life prediction
G Youness, A Aalah - Aerospace, 2023 - mdpi.com
Prognosis and health management depend on sufficient prior knowledge of the degradation
process of critical components to predict the remaining useful life. This task is composed of …
process of critical components to predict the remaining useful life. This task is composed of …
Joint threshold learning convolutional networks for intelligent fault diagnosis under nonstationary conditions
Rotating machines are essential components in manufacturing, power generation,
transportation, and aerospace industries. Nevertheless, most existing diagnosis …
transportation, and aerospace industries. Nevertheless, most existing diagnosis …
Logarithmic Cumulative Transformation: A Simple Yet Effective Approach for Bearing Remaining Useful Life Prediction
Accurate and reliable prediction of bearing remaining useful life (RUL) is crucial to the
prognostics and health management of rotation machinery. Despite the rapid progress of …
prognostics and health management of rotation machinery. Despite the rapid progress of …
A Lightweight Group Transformer-Based Time Series Reduction Network for Edge Intelligence and Its Application in Industrial RUL Prediction
Recently, deep learning-based models such as transformer have achieved significant
performance for industrial remaining useful life (RUL) prediction due to their strong …
performance for industrial remaining useful life (RUL) prediction due to their strong …
An Interpretable Neuro-Dynamic Scheme With Feature-Temporal Attention for Remaining Useful Life Estimation
L Qin, S Zhang, T Sun, X Zhao - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
With the wide application of deep learning in condition monitored system prognostics, its
inadequate interpretability has always been questioned. This article proposes interpretable …
inadequate interpretability has always been questioned. This article proposes interpretable …
Remaining useful life prediction across machines using multi-source adversarial online knowledge distillation
K Liu, Y Li - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Deep transfer learning has been extensively developed in the remaining useful life
prediction of rolling bearings because it can decrease the dependence on massive labeled …
prediction of rolling bearings because it can decrease the dependence on massive labeled …
Adaptive Attention-Driven Manifold Regularization for Deep Learning Networks: Industrial Predictive Modeling Applications and Beyond
C Liu, Y Wang, C Yang, H Leung… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Industrial predictive modeling, which provides valuable information for process monitoring
and decision-making on process operation, plays a crucial role in the process industry …
and decision-making on process operation, plays a crucial role in the process industry …