An Explainable Artificial Intelligence Approach for Remaining Useful Life Prediction
Aerospace, 2023 Prognosis and health management depend on sufficient prior knowledge of the degradation process of critical components to predict the remaining useful life. This task is composed of two phases: learning and prediction.
Genane Youness, Adam Aalah
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Remaining Useful Life Prediction of High-Frequency Swing Self-Lubricating Liner
Shock and Vibration, 2021 The remaining useful life (RUL) prediction of self-lubricating spherical plain bearings is essential for replacement decision-making and the reliability of high-end equipment. The high-frequency swing self-lubricating liner (HSLL) is the key component of
Xiuhong Hao +3 more
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Predicting Remaining Useful Life with Similarity-Based Priors [PDF]
, 2020 Prognostics is the area of research that is concerned with predicting the remaining useful life of machines and machine parts. The remaining useful life is the time during which a machine or part can be used, before it must be replaced or repaired.
Youri Soons +3 more
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Battery Remaining Useful Life Prediction with Inheritance Particle Filtering
Energies, 2019 Accurately forecasting a battery’s remaining useful life (RUL) plays an important role in the prognostics and health management of rechargeable batteries. An effective forecast is reported using a particle filter (PF), but it currently suffers from
Lin Li +3 more
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Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
IEEE Access, 2022 Accurately predicting the Remaining Useful Life (RUL) of a Li-ion battery plays an important role in managing the health and estimating the state of a battery.
Daoquan Chen, Weicong Hong, Xiuze Zhou
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Remaining Useful Life Prediction of Rolling Element Bearings Using Supervised Machine Learning [PDF]
, 2019 Components of rotating machines, such as shafts, bearings and gears are subject to performance degradation, which if left unattended could lead to failure or breakdown of the entire system.
Bates +6 more
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Remaining Useful Life Prediction of Lithium-Ion Battery Using ICC-CNN-LSTM Methodology
Energies, 2023 In recent years, lithium-ion batteries have gained significant attention due to their crucial role in various applications, such as electric vehicles and renewable energy storage.
Catherine Rincón-Maya +4 more
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A hierarchical decision-making framework for the assessment of the prediction capability of prognostic methods [PDF]
, 2016 In prognostics and health management, the prediction capability of a prognostic method refers to its ability to provide trustable predictions of the remaining useful life, with the quality characteristics required by the related maintenance decision ...
Di Maio, Francesco +3 more
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Remaining useful life prediction based on an integrated neural network
工程科学学报, 2020 Unexpected failures and unscheduled maintenance activities of mechanical systems might incur considerable waste of resources and high investment costs. Thus, in recent years, prognostics and health management (PHM) has received a lot of attention because
Yong-feng ZHANG, Zhi-qiang LU
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Digital Twin-Driven Remaining Useful Life Prediction for Rolling Element Bearing
Machines, 2023 Traditional methods for predicting remaining useful life (RUL) ignore the correlation between physical world data and virtual world data, leading to the low prediction accuracy of RUL and affecting the normal working of rolling element bearing (REB).
Quanbo Lu, Mei Li
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