Results 1 to 10 of about 426,039 (163)
Remaining Useful Life Prognosis of Aircraft Brakes
International Journal of Prognostics and Health Management, 2022 We investigate the performance of three different data-driven prognostic methodologies towards the Remaining Useful Life estimation of commercial aircraft brakes being continuously monitored for wear.
Athanasios Oikonomou +4 more
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Bayesian Approach for Remaining Useful Life Prediction
Chemical Engineering Transactions, 2013 Prediction of the remaining useful life (RUL) of critical components is a non-trivial task for industrial applications. RUL can differ for similar components operating under the same conditions.
A. Mosallam, K. Medjaher, N. Zerhouni
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Remaining-Useful-Life Prediction for Li-Ion Batteries
Energies, 2023 This paper aims to establish a predictive model for battery lifetime using data analysis. The procedure of model establishment is illustrated in detail, including the data pre-processing, modeling, and prediction.
Yeong-Hwa Chang +3 more
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Predicting the Remaining Useful Life of Supercapacitors under Different Operating Conditions
EnergiesWith the rapid development of the new energy industry, supercapacitors have become key devices in the field of energy storage. To forecast the remaining useful life (RUL) of supercapacitors, we introduce a new technology that integrates variational mode ...
Guangheng Qi, Ning Ma, Kai Wang
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Remaining Useful Life Estimation In the Presence of Given Shocks [PDF]
International Journal of Industrial Engineering and Production Research, 2022 In a system, prediction of remaining useful lifetime (RUL) of servicing before reaching to a specified breakdown threshold is a very important practical issue, and research in this field is still regarded as an appreciated research gap.
Mehrnaz Piroozbakht +3 more
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Genetically optimized prediction of remaining useful life [PDF]
Sustainable Computing: Informatics and Systems, 2021 The application of remaining useful life (RUL) prediction has taken great importance in terms of energy optimization, cost-effectiveness, and risk mitigation. The existing RUL prediction algorithms mostly constitute deep learning frameworks. In this paper, we implement LSTM and GRU models and compare the obtained results with a proposed genetically ...
Shaashwat Agrawal +4 more
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Prediction of the Remaining Useful Life of Supercapacitors
Mathematical Problems in Engineering, 2022 As a new type of energy-storage device, supercapacitors are widely used in various energy storage fields because of their advantages such as fast charging and discharging, high power density, wide operating temperature range, and long cycle life. However, the degradation and failure of supercapacitors in large-scale applications will adversely affect ...
Zhenxiao Yi +5 more
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Prediction of Aero-Engine Remaining Useful Life Combined with Fault Information
Machines, 2022 Since the fault information of an aero-engine is very important for the remaining useful life of an aero-engine, the paper proposes to combine the fault information for the remaining useful life prediction of an aero-engine.
Chao Wang, Zhangming Peng, Rong Liu
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Uncertainty-aware Remaining Useful Life predictor
CoRR, 2021 Remaining Useful Life (RUL) estimation is the problem of inferring how long a certain industrial asset can be expected to operate within its defined specifications. Deploying successful RUL prediction methods in real-life applications is a prerequisite for the design of intelligent maintenance strategies with the potential of drastically reducing ...
Luca Biggio +4 more
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Solid-State Lithium Battery Cycle Life Prediction Using Machine Learning
Applied Sciences, 2021 Battery lifetime prediction is a promising direction for the development of next-generation smart energy storage systems. However, complicated degradation mechanisms, different assembly processes, and various operation conditions of the batteries bring ...
Danpeng Cheng +9 more
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