Application of state of health estimation and remaining useful life prediction for lithium-ion batteries based on AT-CNN-BiLSTM. [PDF]
Sci RepZhao FM, Gao DX, Cheng YM, Yang Q.
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Digital twin-driven operational CycleGAN-based multiple virtual-physical mappings for remaining useful life prediction under limited life cycle data. [PDF]
J Adv ResXu Q +7 more
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Anomaly Detection and Remaining Useful Life Prediction for Turbofan Engines with a Key Point-Based Approach to Secure Health Management. [PDF]
Sensors (Basel)Duan Y, Zhang T, Shi D.
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Remaining useful life prediction of Lithium-ion batteries using spatio-temporal multimodal attention networks. [PDF]
HeliyonSuh S +5 more
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Uncertain generalized remaining useful life prediction-driven predictive maintenance decision
2015 Prognostics and System Health Management Conference (PHM), 2015Predictive maintenance based on generalized health assessment is a flourishing approach, which can decrease maintenance cost and increase operational availability efficiently. Remaining useful life prediction (RULP) is a kind of health assessment methods, which is fundamental and vital for predictive maintenance.
Y Xu, Y Zhang, S Zhang
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Remaining Useful Tool Life Predictions Using Bayesian Inference
Volume 2: Systems; Micro and Nano Technologies; Sustainable Manufacturing, 2013Tool wear is an important limitation to machining productivity. In this paper, remaining useful tool life predictions using the random walk method of Bayesian inference is demonstrated. End milling tests were performed on a titanium workpiece and spindle power was recorded.
Jaydeep Karandikar +3 more
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Problems of Predicting the Remaining Useful Life
2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), 2020As the title implies the article, describes some difficulties that appear during the usage process of any technical equipment. It is spoken in detail about the remaining useful life. Different common ways to estimate are described in short. The author attempt made to analyze the Turbofan Engine Degradation Simulation data set.
Alena A. Rozhkovskaya, Igor O. Sychev
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Remaining useful life Prediction of air spring
2019 IEEE International Conference on Prognostics and Health Management (ICPHM), 2019The remaining useful life estimation is an important function of an efficient prognostics and health management (PHM) system and can be used preventively to replace the component with the aim of avoiding a breakdown. The prediction of remaining life time of the air spring as one of the critical component of truck is the main goal of this research.
Farzaneh Ahmadzadeh +2 more
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Prediction of Mining Railcar Remaining Useful Life
2019Railcar or Rolling stock that is referring to all vehicles moving on railway, is one of the most important component of the rail transport system. In-operation failures of the railcar results delays in transportation and therefore predicting the remaining useful life (RUL) and accordingly considering the preventive maintenance activities are essential.
Mohammad Javad Rahimdel +2 more
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Ensemble Learning for Remaining Useful Life Prediction
PHM Society Asia-Pacific Conference, 2017While significant research has been conducted in modelbased and data-driven prognostics, very limited research has been done to investigate the prediction of RUL using an ensemble learning method that combines prediction results from multiple learning algorithms.
Zhixiong Li, Chao Hu
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