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RUL Prediction for Bearings Based on Fault Diagnosis

2018
In recent years remaining useful life of rolling bearings is paid much more attention. In this paper, the remaining useful life prediction based on fault diagnosis is proposed. Based on the real-time fault diagnosis results of the bearing, the remaining life is predicted and a set of bearing life expectancy prediction system is established by obtaining
Dong Yan, Xiukun Wei
openaire   +1 more source

Transformer-based prediction of the RUL of PEMFC

2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS), 2022
Ning Zhou, Benyu Cui, Jianxin Zhou
openaire   +1 more source

State estimation of discrete event systems for RUL prediction issue

International Journal of Production Research, 2017
This paper concerns Remaining Useful Life (RUL) estimation of discrete event systems. For that purpose, physics-based models with partially observed stochastic Petri nets are used to represent the system and its sensors. The advantage of the proposed modelling approach is to provide a realistic representation of the system, including the interaction ...
Ammour, Rabah   +3 more
openaire   +2 more sources

AutoML for Predictive Maintenance: One Tool to RUL Them All

2020
Automated machine learning (AutoML) deals with the automatic composition and configuration of machine learning pipelines, including the selection and parametrization of preprocessors and learning algorithms. While recent work in this area has shown impressive results, existing approaches are essentially limited to standard problem classes such as ...
Tanja Tornede   +4 more
openaire   +2 more sources

Data-Driven RUL Prediction

2022
Yaguo Lei, Naipeng Li, Xiang Li
openaire   +1 more source

Data-Model Fusion RUL Prediction

2022
Yaguo Lei, Naipeng Li, Xiang Li
openaire   +1 more source

Uncertainty Management and the Confidence of RUL Predictions

2021
Diego Galar   +3 more
openaire   +1 more source

A Data Driven RUL Prediction and Predictive Maintenance for Stochastic Degrading Systems

2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS), 2021
Yuhan Zhang 0006   +2 more
openaire   +2 more sources

Robustness Testing Framework for RUL Prediction Deep LSTM Networks

ISA Transactions, 2021
Zeina Al Masry, Mohamed Sayah
exaly  

RUL Prediction for Rolling Bearings Based on Convolutional Autoencoder and Status Degradation Model

Applied Soft Computing Journal, 2022
Fengyu Xu, Quansheng Jiang, Qixin Zhu
exaly  

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