Results 21 to 30 of about 9,526,985 (202)
Sensors, 2022 The instability and variable lifetime are the benefits of high efficiency and low-cost issues in lithium-ion batteries.An accurate equipment’s remaining useful life prediction is essential for successful requirement-based maintenance to improve ...
Sadiqa Jafari, Yung-Cheol Byun
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The Application of Frailty Model in Remaining Useful Life Estimation (Case Study: Sungun Copper Mine's Loading System) [PDF]
مجله مدل سازی در مهندسی, 2020 The Residual Useful Life (RUL) provides an estimate of the amount of remaining useful life before a system failure depends on present conditions and past operating profiles. In this paper, RUL is estimated based on reliability and for convergence to more
Awat Ghomghale +4 more
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Sensors, 2022 Tool condition monitoring can be employed to ensure safe and full utilization of the cutting tool. Hence, remaining useful life (RUL) prediction of a cutting tool is an important issue for an effective high-speed milling process-monitoring system ...
Weichao Liu, Wen-An Yang, Youpeng You
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Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification
Sensors, 2022 To reduce the economic losses caused by bearing failures and prevent safety accidents, it is necessary to develop an effective method to predict the remaining useful life (RUL) of the rolling bearing.
Jinsong Yang +3 more
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Heliyon, 2022 RUL (remaining useful life) shapelets were recently developed to overcome the shortcomings of similarity-based RUL prediction methods, such as high sensitivity to parameters.
Gilseung Ahn +3 more
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A Semi-Supervised Approach with Monotonic Constraints for Improved Remaining Useful Life Estimation
Sensors, 2022 Remaining useful life is of great value in the industry and is a key component of Prognostics and Health Management (PHM) in the context of the Predictive Maintenance (PdM) strategy.
Diego Nieves Avendano +6 more
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Semi-Supervised Framework with Autoencoder-Based Neural Networks for Fault Prognosis
Sensors, 2022 This paper presents a generic framework for fault prognosis using autoencoder-based deep learning methods. The proposed approach relies upon a semi-supervised extrapolation of autoencoder reconstruction errors, which can deal with the unbalanced ...
Tiago Gaspar da Rosa +5 more
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Lithium-ion battery remaining useful life prediction [PDF]
, 2021 Lithium-Ion Battery Remaining Useful Life Prediction work consists of an initial approach to battery life prediction using Severson dataset and data-driven LSTM-based RUL predictive methods. Although the memory is written in English, the presentation
Larrarte Lizarralde, Beñat
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Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and support vector machine [PDF]
, 2012 Machine performance degradation assessment and remaining useful life (RUL) prediction are of crucial importance in condition-based maintenance to reduce the maintenance cost and improve the reliability.
Yang, Bo-Suk +3 more
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Demonstration of a Response Time Based Remaining Useful Life (RUL) Prediction for Software Systems
CoRR, 2023 Prognostic and Health Management (PHM) has been widely applied to hardware systems in the electronics and non-electronics domains but has not been explored for software. While software does not decay over time, it can degrade over release cycles. Software health management is confined to diagnostic assessments that identify problems, whereas prognostic
Ray Islam, Peter Sandborn
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