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Research on Remaining Useful Life Prediction of Control Rod Drive Mechanism Rotor Components in Floating Nuclear Reactor. [PDF]
Sensors (Basel)Zhang L, Wang C, Chen L, Tan T, Liao L.
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Remaining Useful Life Prediction Based on Spatiotemporal Autoencoder
Multimedia Tools and Applications, 2022Remaining Useful Life (RUL) prediction has received a lot of attention as the core of prognostics and health management (PHM) technology. To address the problem that most current studies do not consider structural information between sensors, we propose a RUL prediction method based on the spatiotemporal autoencoder (TSAE).
Tao Xu, Dechang Pi, Hongbo Han
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A survey on few-shot learning for remaining useful life prediction
Reliability Engineering and System SafetyRen-Peng Mo +3 more
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A Critical Review of Improved Deep Learning Methods for the Remaining Useful Life Prediction of Lithium-Ion Batteries [PDF]
Energy Reports, 2021 As widely used for secondary energy storage, lithium-ion batteries have become the core component of the power supply system and accurate remaining useful life prediction is the key to ensure its reliability.
Carlos Fernández +2 more
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A Probabilistic Framework for Remaining Useful Life Prediction of Bearings
IEEE Transactions on Instrumentation and Measurement, 2021This article presents a probabilistic framework for remaining useful life (RUL) prediction of bearings. This framework comprises two phases: 1) early fault detection, i.e., modeling the vibration signal as a series of graphs and then conducting graph spectrum analysis to detect the topological change of graph for early fault detection and 2) RUL ...
Teng Wang 0002 +2 more
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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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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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Probabilistic Analysis for Remaining Useful Life Prediction and Reliability Assessment
IEEE Transactions on Reliability, 2022Although the importance of remaining useful life (RUL) prediction is widely recognized in industries, its implementation in real scenarios is highly restricted by the complexity of the degradation mechanism, uncertainty of machinery, and insufficiency of prior knowledge.
Teng Wang 0002 +4 more
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Bidirectional handshaking LSTM for remaining useful life prediction
Neurocomputing, 2019Abstract Unpredictable failures and unscheduled maintenance of physical systems increases production resources, produces more harmful waste for the environment, and increases system life cycle costs. Efficient remaining useful life (RUL) estimation can alleviate such an issue.
Ahmed Elsheikh +2 more
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A Remaining Useful Life Prediction Method for Rolling Bearing Based on TCN-Transformer
IEEE Transactions on Instrumentation and MeasurementPredicting the remaining useful life (RUL) of rolling bearings is crucial to ensure the stable operation of equipment. In recent years, predictive methodologies that leverage intelligent models have witnessed widespread development, significantly ...
Wei Cao +4 more
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