Results 31 to 40 of about 4,675,099 (276)
Segmental Degradation RUL Prediction of IGBT Based on Combinatorial Prediction Algorithms
IEEE Access, 2022 Aiming at the segmentation nonlinear degradation characteristics of IGBT, the traditional single remaining useful lifetime (RUL) method has low accuracy. This paper proposes a method combining gray prediction and particle filter algorithm.
Linghui Meng, Yiqiang Chen, Zhenwei Zhou
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jiaxiang-cheng/cnn-pytorch-remaining-useful-life-prediction: RUL Prediction with CNN
, 2021 Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep convolutional neural network-based regression approach for estimation of remaining useful life. In International conference on database systems for advanced applications (pp.
Jia-Xiang Cheng
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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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Attention-based Remaining Useful Lifetime Prediction Method for Industrial Internet of Things
工程科学与技术, 2022 As one of the important functions to realize industrial intelligence in Industrial Internet of Things (IIoT), remaining useful lifetime (RUL) prediction can predict the future degradation states of industrial equipment based on monitoring data and then ...
Guorui LI +4 more
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Machines, 2021 While increasing digitalization enables multiple advantages for a reliable operation of technical systems, a remaining challenge in the context of condition monitoring is seen in suitable consideration of uncertainties affecting the monitored system ...
Amelie Bender
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Advances in Mechanical Engineering, 2022 Aiming at the problem of remaining useful life prediction of rolling bearing in aero engine, a data-driven prediction method based on deep learning and particle filter is proposed. Initially, only the vibration data of rolling bearing in normal stage are
Xiyang Liu +4 more
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Power Electronic Devices and Components, 2023 Reliability of power electronic components is essential to functionality and safety. In this paper, a data-driven method is presented to estimate the remaining useful lifetime of solder joints used in power modules of electric bikes.
Darshankumar Bhat +2 more
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Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties
PHM Society European Conference, 2021 Predictive Maintenance as a desirable maintenance strategy in industrial applications relies on suitable condition monitoring solutions to reduce costs and risks of the monitored technical systems. In general, those solutions utilize model-based or data-driven methods to diagnose the current state or predict future states of monitored technical systems.
Amelie Bender, Walter Sextro
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Andalas Journal of Electrical and Electronic Engineering TechnologyOil-immersed transformers are critical assets in the energy industry linking most power utilities to end-users. Their failure results in prolong outages, leading to huge revenue loss incurred during downtimes and replacement cost.
Elvis Tamakloe +4 more
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Applied Sciences, 2023 Remaining useful lifetime (RUL) predictions of electric motors are of vital importance in the maintenance and reduction of repair costs. Thanks to technological advances associated with Industry 4.0, physical models used for prediction and prognostics ...
Luis Magadán +4 more
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