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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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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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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Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks [PDF]
, 2017 We consider the problem of estimating the remaining useful life (RUL) of a system or a machine from sensor data. Many approaches for RUL estimation based on sensor data make assumptions about how machines degrade.
Agarwal, Puneet +5 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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Stochastic RUL calculation enhanced with TDNN-based IGBT failure modeling [PDF]
, 2016 Power electronics are widely used in the transport and energy sectors. Hence, the reliability of these power electronic components is critical to reducing the maintenance cost of these assets.
Alghassi, Alireza +2 more
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Prognosis of a Wind Turbine Gearbox Bearing Using Supervised Machine Learning [PDF]
, 2019 Deployment of large-scale wind turbines requires sophisticated operation and maintenance strategies to ensure the devices are safe, profitable and cost-effective.
Elasha, Faris +3 more
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