Results 31 to 40 of about 85,181 (261)
Remaining Useful Life Prediction on Wind Turbine Gearbox
International Journal of Recent Technology and Engineering (IJRTE), 2021 This research proposes a methodology to estimate the reliability of gearbox using life data analysis and predict the Lifetime Use Estimation (LUE). Life data analysis involves collection of historical field replacements of gearbox and perform statistical analysis such as Weibull analysis to estimate the reliability.
R Srinivasan, T Paul Robert
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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
doaj +1 more source
LSTM-Based Battery Remaining Useful Life Prediction With Multi-Channel Charging Profiles
IEEE Access, 2020 Remaining useful life (RUL) prediction of lithium-ion batteries can reduce the risk of battery failure by predicting the end of life. In this paper, we propose novel RUL prediction techniques based on long short-term memory (LSTM).
Kyungnam Park +4 more
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Automated Machine Learning for Remaining Useful Life Predictions
2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023 Being able to predict the remaining useful life (RUL) of an engineering system is an important task in prognostics and health management. Recently, data-driven approaches to RUL predictions are becoming prevalent over model-based approaches since no underlying physical knowledge of the engineering system is required.
Zöller, Marc-André +4 more
openaire +2 more sources
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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Digital Twin and Data-Driven Remaining Useful Life Prediction of Gearbox
IEEE AccessTraditional approaches for predicting the remaining useful life (RUL) of gearboxes often face challenges in integrating physical and virtual data, leading to reduced prediction accuracy and an increased risk of system failure.
Quanbo Lu, Mei Li, Xiaojuan Huang
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Prediction of Aero-Engine Remaining Useful Life Combined with Fault Information
Machines, 2022 Since the fault information of an aero-engine is very important for the remaining useful life of an aero-engine, the paper proposes to combine the fault information for the remaining useful life prediction of an aero-engine.
Chao Wang, Zhangming Peng, Rong Liu
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Remaining Useful Life Prediction for Turbofan Engine Using SAE-TCN Model
Aerospace, 2023 Turbofan engines are known as the heart of the aircraft. The turbofan’s health state determines the aircraft’s operational status. Therefore, the equipment monitoring and maintenance of the engine is an important part of ensuring the healthy and stable ...
Xiaofeng Liu +3 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Secondary hyperparathyroidism (SHPT) is a common complication in patients receiving maintenance dialysis, driven by calcium and phosphate metabolism disturbances. Calcimimetics are central to the management of SHPT by enhancing calcium‐sensing receptor sensitivity and reducing parathyroid hormone secretion.
Fumihiko Koiwa +3 more
wiley +1 more source
Attention-Gaussian-LSTM-Wiener based remaining useful life prediction method
Autonomous Intelligent SystemsMost machine learning-based remaining useful life (RUL) prediction methods only yield point predictions, and their “black-box” nature results in low interpretability.
Shuiyuan Cao +4 more
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