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Remaining Useful Life Prediction of Ball Screw Using Precision Indicator
IEEE Transactions on Instrumentation and Measurement, 2021Remaining useful life (RUL) prediction has been receiving increasing attention in industry and academia due to its advantages in ensuring safety, reducing costs, and improving efficiency. For industrial manufacturing, the ball screw is an indispensable high-precision servo component.
Hanbo Yang +6 more
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Why is the Remaining Useful Life Prediction Uncertain?
Annual Conference of the PHM Society, 2013This paper discusses the significance and interpretation of uncertainty in the remaining useful life (RUL) prediction of components used in several types of engineering applications, and answers certain fundamental questions such as “Why is the RUL prediction uncertain?”, “How to interpret the uncertainty in the RUL prediction?”, and “How to ...
Shankar Sankararaman, Kai Goebel
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Predicting Remaining Useful Life with Uncertainty Using Recurrent Neural Process
2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C), 2020Recently deep learning based remaining useful life (RUL) prediction approaches have gained increasing attention due to their scalability and generalization ability. Although deep learning based approaches can obtain promising point prediction performance, it is not easy for them to estimate the uncertainty in RUL prediction.
Guozhen Gao, Zijun Que, Zhengguo Xu
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Prediction of the remaining useful life of mechatronic systems, using internal sensors
2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2020In this work, a Condition Monitor (CM) procedure has been applied to an automatic machine for cutting of steel bars, for the purpose of estimating the Remaining Useful Life (RUL) of specific components of the system. Two sensors inside the system and an external one have been used to monitor the wear condition of the blade in the cutting unit ...
Emanuela Natale +3 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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Remaining Useful Life Prediction Based on Spatiotemporal Autoencoder
SSRN Electronic Journal, 2022Tao Xu, Dechang Pi, Shi Zeng
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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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Remaining Useful Life Prediction of Equipment Based on XGBoost
Proceedings of the 5th International Conference on Computer Science and Application Engineering, 2021Zhiyang Jia, Zhibo Xiao, Yijin Shi
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The Study of Hyperparameters in the Prediction of Remaining Useful Life
Volume 11: Safety Engineering, Risk and Reliability Analysis; Research PostersAbstract Despite the extensive body of literature on RUL prediction techniques, there is still a need to understand how hyperparameters affect these predictions’ error and aleatoric and epistemic uncertainty. Motivated by this need, the research question was: Does applying machine learning architecture enhance uncertainty quantification ...
Nazir Laureano Gandur +1 more
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Domain Adaptive Remaining Useful Life Prediction With Transformer
IEEE Transactions on Instrumentation and Measurement, 2022Xinyao Li +4 more
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