LSTM-Based Broad Learning System for Remaining Useful Life Prediction
Mathematics, 2022 Prognostics and health management (PHM) are gradually being applied to production management processes as industrial production is gradually undergoing a transformation, turning into intelligent production and leading to increased demands on the ...
Xiaojia Wang +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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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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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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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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Remaining useful life prediction of rotating equipment using covariate-based hazard models : Industry applications [PDF]
, 2017 The ability to estimate the expected Remaining Useful Life (RUL) is critical to reduce maintenance costs, operational downtime and safety hazards. In most industries, reliability analysis is based on the Reliability Centred Maintenance (RCM) and lifetime
Yarlagadda, Prasad K. +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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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 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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