Remaining useful life prediction of lithium-ion batteries based on stacked autoencoder and gaussian mixture regression
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Energy Storage"
DOI: 10.1016/j.est.2021.103558
Abstract: Abstract Lithium-ion batteries have been widely applied in energy storage systems and electric vehicles (EVs), the remaining useful life (RUL) prediction is one of the critical technologies for prognostics and health management. However, high accuracy… read more here.
Keywords: rul prediction; lithium ion; remaining useful; useful life ... See more keywords
Railway turnout system RUL prediction based on feature fusion and genetic programming
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DOI: 10.1016/j.measurement.2019.107162
Abstract: Abstract The remaining useful life (RUL) prediction of railway turnout systems (RTS) is very important to avoid unplanned shutdowns and reduce labor costs for the normal operation of railways. One key challenge on RUL prediction… read more here.
Keywords: rul; feature fusion; railway turnout; rul prediction ... See more keywords
A BiGRU method for remaining useful life prediction of machinery
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DOI: 10.1016/j.measurement.2020.108277
Abstract: Abstract Remaining useful life (RUL) prediction, allowing for mechanical prediction maintenance, reduces the unplanned expensive maintenance greatly. Deep learning methods have provided better point estimation for RUL prediction due to their powerful feature extraction capability.… read more here.
Keywords: method; useful life; remaining useful; rul prediction ... See more keywords
A novel method for journal bearing degradation evaluation and remaining useful life prediction under different working conditions
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.109273
Abstract: Abstract Accurate bearing degradation performance analysis and remaining useful life (RUL) prediction are significant to prevent major accidents and economic losses in industry. Data-driven methods have emerged as reliable algorithms for RUL prediction. These existing… read more here.
Keywords: prediction different; rul prediction; journal bearing; prediction ... See more keywords
Wiener-based remaining useful life prediction of rolling bearings using improved Kalman filtering and adaptive modification
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DOI: 10.1016/j.measurement.2021.109706
Abstract: Abstract The remaining useful life (RUL) prediction of rolling bearings is a key process for prognostics and health management (PHM) of machines. In RUL prediction, the wiener-based models are widely used to describe the degradation… read more here.
Keywords: rul prediction; prediction; improved kalman; wiener based ... See more keywords
Remaining Useful Life Prediction using Deep Learning Approaches: A Review
Sign Up to like & getrecommendations! Published in 2020 at "Procedia Manufacturing"
DOI: 10.1016/j.promfg.2020.06.015
Abstract: Abstract Data-driven techniques, especially on artificial intelligence (AI) such as deep learning (DL) techniques, have attracted more and more attention in the manufacturing sector because of the growth of industrial Internet of Things (IoT) and… read more here.
Keywords: deep learning; useful life; remaining useful; rul prediction ... See more keywords
A Robust Hybrid Filtering Method for Accurate Battery Remaining Useful Life Prediction
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2914221
Abstract: Accurate remaining useful life (RUL) prediction under the noisy environment is a big challenge for the health management of modern industrial systems since the extraction of the accurate data structure from heavily corrupted data is… read more here.
Keywords: useful life; rul prediction; method; prediction ... See more keywords
The Remaining Useful Life Prediction by Using Electrochemical Model in the Particle Filter Framework for Lithium-Ion Batteries
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3006157
Abstract: The remaining useful life (RUL) prediction is critical for the safe and reliable operation of lithium-ion battery (LIB) systems, which characterizes the aging status of the battery and provides early warning for battery replacement. Most… read more here.
Keywords: rul prediction; battery; prediction; electrochemical model ... See more keywords
Remaining Useful Life Prediction of Bearings Based on Convolution Attention Mechanism and Temporal Convolution Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3255891
Abstract: The prediction of the remaining useful life (RUL) of bearings is of great significance for reducing cost and increasing efficiency of mechanical equipment and ensuring healthy operation. Most of the traditional RUL prediction methods based… read more here.
Keywords: attention mechanism; rul prediction; prediction; attention ... See more keywords
A Prognostic Model Based on DBN and Diffusion Process for Degrading Bearing
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2019.2947839
Abstract: Remaining useful life (RUL) prediction is extremely significant to ensure the safe and reliable operation for bearing suffering from the deterioration. The main focus of the RUL prediction is to accurately predict the future failure… read more here.
Keywords: rul; rul prediction; model based; dbn diffusion ... See more keywords
KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3057030
Abstract: Machine remaining useful life (RUL) prediction is vital in improving the reliability of industrial systems and reducing maintenance cost. Recently, long short-term memory (LSTM) based algorithms have achieved state-of-the-art performance for RUL prediction due to… read more here.
Keywords: rul; rul prediction; prediction; knowledge distillation ... See more keywords