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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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Mechanical systems and signal processing
Remaining Useful Life (RUL) prediction is a critical aspect of Prognostics and Health Management (PHM), aimed at predicting the future state of a system to enable timely maintenance and prevent unexpected failures.
Yu-Cheng Wang +4 more
semanticscholar +1 more source
Remaining Useful Life (RUL) prediction is a critical aspect of Prognostics and Health Management (PHM), aimed at predicting the future state of a system to enable timely maintenance and prevent unexpected failures.
Yu-Cheng Wang +4 more
semanticscholar +1 more source
IEEE Transactions on Industrial Informatics
Accurate remaining useful life (RUL) prediction of lithium-ion batteries is critical for energy supply systems. In conventional data-driven RUL prediction approaches, the battery's degradation mechanism is difficult into incorporate in the RUL prediction.
Jiu-Si Zhang +6 more
semanticscholar +1 more source
Accurate remaining useful life (RUL) prediction of lithium-ion batteries is critical for energy supply systems. In conventional data-driven RUL prediction approaches, the battery's degradation mechanism is difficult into incorporate in the RUL prediction.
Jiu-Si Zhang +6 more
semanticscholar +1 more source
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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Partial Domain Adaptation in Remaining Useful Life Prediction With Incomplete Target Data
IEEE/ASME transactions on mechatronicsIntelligent machinery prognostics and health management (PHM) methods have been attracting growing attention in the past years, with the rapid development of the artificial intelligence algorithms.
Xiang Li, Wei Zhang, Xu Li, Hongshen Hao
semanticscholar +1 more source
Predictive Maintenance Scheduling for Aircraft Engines Based on Remaining Useful Life Prediction
IEEE Internet of Things JournalThis article presents a novel data-driven predictive maintenance scheduling framework for aircraft engines based on remaining useful life (RUL) prediction.
Lu-Bing Wang +3 more
semanticscholar +1 more source
Advanced Engineering Informatics
Predicting the Remaining Useful Life (RUL) is essential in Prognostic Health Management (PHM) for industrial systems. Although deep learning approaches have achieved considerable success in predicting RUL, challenges such as low prediction accuracy and ...
Feilong Jiang, Xiaonan Hou, Min Xia
semanticscholar +1 more source
Predicting the Remaining Useful Life (RUL) is essential in Prognostic Health Management (PHM) for industrial systems. Although deep learning approaches have achieved considerable success in predicting RUL, challenges such as low prediction accuracy and ...
Feilong Jiang, Xiaonan Hou, Min Xia
semanticscholar +1 more source
Applied Energy
Accurate remaining useful life (RUL) estimation is crucial for the normal and safe operations of lithium-ion batteries (LIBs). Traditionally, every cy-cle’s maximum discharging capacity should be measured and then serve as a model input to predict ...
Yun-Peng Liu +5 more
semanticscholar +1 more source
Accurate remaining useful life (RUL) estimation is crucial for the normal and safe operations of lithium-ion batteries (LIBs). Traditionally, every cy-cle’s maximum discharging capacity should be measured and then serve as a model input to predict ...
Yun-Peng Liu +5 more
semanticscholar +1 more source
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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