Remaining Useful Life Estimation Using Functional Data Analysis [PDF]
2019 IEEE International Conference on Prognostics and Health Management (ICPHM), 2019 Accepted by IEEE International Conference on Prognostics and Health Management ...
Qiyao Wang +4 more
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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
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Remaining Useful Life Estimation of Bearings Meta-Analysis of Experimental Procedure
International Journal of Prognostics and Health Management, 2020 In the domain of predictive maintenance, when trying to repli- cate and compare research in remaining useful life estimation (RUL), several inconsistencies and errors were identified in the experimental methodology used by various researchers. This makes
Hugo M. Ferreira, Alexandre C. de Sousa
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Estimating Remaining Useful Life for Degrading Systems with Large Fluctuations [PDF]
Journal of Control Science and Engineering, 2018 Remaining useful life (RUL) prediction method based on degradation trajectory has been one of the most important parts in prognostics and health management (PHM). In the conventional model, the degradation data are usually used for degradation modeling directly.
Dang-Bo Du +4 more
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Remaining Useful Life Estimation of Rolling Bearing Based on SOA-SVM Algorithm
Machines, 2022 Rolling bearings are an important part of rotating machinery, and are of great significance for fault diagnosis and life monitoring of rolling bearings. Analyzing fault signals, extracting effective degradation information and establishing corresponding ...
Xiao Li +3 more
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Uncertainty-Aware Prognosis via Deep Gaussian Process
IEEE Access, 2021 The task of predicting how long a certain industrial asset will be able to operate within its nominal specifications is called Remaining Useful Life (RUL) estimation. Efficient methods of performing this task promise to drastically transform the world of
Luca Biggio +4 more
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A Gaussian Process Based Method for Data- Efficient Remaining Useful Life Estimation
IEEE Access, 2021 The task of remaining useful life (RUL) estimation is a major challenge within the field of prognostics and health management (PHM). The quality of the RUL estimates determines the economical feasibility of the application of predictive maintenance ...
Maximilian Benker +2 more
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A Bidirectional Long Short-Term Memory Autoencoder Transformer for Remaining Useful Life Estimation
Mathematics, 2023 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 component of modern aviation management.
Zhengyang Fan, Wanru Li, Kuo-Chu Chang
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Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and SVM [PDF]
This paper proposes a three-stage method involved system identification techniques, proportional hazard model, and support vector machine for assessing the machine health degradation and forecasting the machine remaining useful life (RUL).
Tran, Van Tung
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Stacking-based ensemble learning for remaining useful life estimation
Soft Computing, 2023 AbstractExcessive and untimely maintenance prompts economic losses and unnecessary workload. Therefore, predictive maintenance models are developed to estimate the right time for maintenance. In this study, predictive models that estimate the remaining useful life of turbofan engines have been developed using deep learning algorithms on NASA’s turbofan
Begum Ay Ture +3 more
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