Results 31 to 40 of about 11,323,207 (336)
Cross-Domain Remaining Useful Life Prediction Based on Adversarial Training
Machines, 2022 Remaining useful life prediction can assess the time to failure of degradation systems. Currently, numerous neural network-based prediction methods have been proposed by researchers.
Yuhang Duan +3 more
doaj +1 more source
Automated Machine Learning for Remaining Useful Life Predictions
2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023 Being able to predict the remaining useful life (RUL) of an engineering system is an important task in prognostics and health management. Recently, data-driven approaches to RUL predictions are becoming prevalent over model-based approaches since no underlying physical knowledge of the engineering system is required.
Marc-André Zöller +4 more
openaire +3 more sources
A Data-Driven-Based Framework for Battery Remaining Useful Life Prediction
IEEE Access, 2023 Electric vehicles are expected to dominate the vehicle fleet in the near future due to their zero emissions of pollutants, reduced fossil fuel reserves, comfort, and lightness.
Amal Ezzouhri +3 more
doaj +1 more source
, 2021 Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021).
Jia-Xiang Cheng
core +1 more source
jiaxiang-cheng/cnn-pytorch-remaining-useful-life-prediction: RUL Prediction with CNN
, 2021 Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep convolutional neural network-based regression approach for estimation of remaining useful life. In International conference on database systems for advanced applications (pp.
Jia-Xiang Cheng
core +1 more source
Remaining Useful Life Prediction Under Imperfect Prior Degradation Information
IEEE Access, 2020 The remaining useful life (RUL) prediction is the core of equipment maintenance and decision-making. Accurate RUL prediction can make effective maintenance before the failure occurs to reduce the probability of equipment failure.
Wan Changhao +4 more
doaj +1 more source
Lithium-ion battery remaining useful life prediction [PDF]
, 2021 Lithium-Ion Battery Remaining Useful Life Prediction work consists of an initial approach to battery life prediction using Severson dataset and data-driven LSTM-based RUL predictive methods. Although the memory is written in English, the presentation
Larrarte Lizarralde, Beñat
core +2 more sources
A remaining useful life prediction method based on PSR-former
Scientific Reports, 2022 The non-linear and non-stationary vibration data generated by rotating machines can be used to analyze various fault conditions for predicting the remaining useful life(RUL).
Huang Zhang +6 more
doaj +1 more source
Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and support vector machine [PDF]
, 2012 Machine performance degradation assessment and remaining useful life (RUL) prediction are of crucial importance in condition-based maintenance to reduce the maintenance cost and improve the reliability.
Yang, Bo-Suk +3 more
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A Hybrid Prognostic Methodology and its Application to Well-Controlled Engineering Systems [PDF]
, 2015 This thesis presents a novel hybrid prognostic methodology, integrating physics-based and data-driven prognostic models, to enhance the prognostic accuracy, robustness, and applicability.
Eker, Ömer Faruk
core +4 more sources