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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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Shapelet-based remaining useful life estimation. [PDF]
2014 IEEE International Conference on Automation Science and Engineering (CASE), 2014 International audienceIn the Prognostics and Health Management domain, estimating the remaining useful life (RUL) of critical machinery is a challenging task.
Malinowski, Simon +2 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 Prediction Based on Deep Learning: A Survey
SensorsRemaining useful life (RUL) is a metric of health state for essential equipment. It plays a significant role in health management. However, RUL is often random and unknown.
Fuhui Wu +3 more
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Remaining Useful Life Predictor for EV Batteries Using Machine Learning
IEEE AccessThe swift advancement of electric vehicle (EV) technology enhances the focus on sustainable energy storage and underscores the crucial significance of lithium-ion batteries.
Debabrata Swain +6 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 ...
Agrawal, Shaashwat +4 more
openaire +2 more sources
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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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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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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