Results 11 to 20 of about 419,717 (299)
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 In the Prognostics and Health Management domain, estimating the remaining useful life (RUL) of critical machinery is a challenging task. Various research topics as data acquisition and processing, fusion, diagnostics, prognostivs and decision are involved in this domain.
Simon Malinowski +2 more
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Prediction of Tool Remaining Useful Life Based on NHPP-WPHM
Mathematics, 2023 A tool remaining useful life prediction method based on a non-homogeneous Poisson process and Weibull proportional hazard model (WPHM) is proposed, taking into account the grinding repair of machine tools during operation.
Yingzhi Zhang +4 more
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A DLSTM-Network-Based Approach for Mechanical Remaining Useful Life Prediction
Sensors, 2022 Remaining useful life prediction is one of the essential processes for machine system prognostics and health management. Although there are many new approaches based on deep learning for remaining useful life prediction emerging in recent years, these ...
Yan Liu +5 more
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Predicting the remaining useful life of rolling element bearings [PDF]
2018 IEEE International Conference on Industrial Technology (ICIT), 2018 Condition monitoring of rolling element bearings is of vital importance in order to keep the industrial wheels running. In wind industry this is especially important due to the challenges in practical maintenance. The paper presents an attempt to improve the capability of prediction of remaining useful life of rolling bearings. The approach is based on
Hooghoudt, Jan Otto +4 more
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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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Rolling Bearing Remaining Useful Life Prognosis Method based on Improved CHSMM
Jixie chuandong, 2018 A rolling bearing remaining useful life prognostics method based on improved Continuous hidden semi-Markov model（ CHSMM） is proposed,aiming at the problem that the CHSMM algorithm prognostics accuracy is low for remaining useful life of rolling bearings.
Zhu Shuo, Bai Ruilin, Ji Feng
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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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