Results 91 to 100 of about 1,643,808 (218)

Fusion model based RUL prediction method of lithium-ion battery under working conditions [PDF]

Under working conditions, since the remaining useful life (RUL) prediction of lithium-ion battery is subject to uncertainties of random charging and discharging, and infeasibility of battery capacity test, a fusion model based RUL prediction method was ...
Yin, Liping, Wang, Di, Fang, Pengya, Sui, Xiaoxiao, Zhang, Anhao   +4 more
core   +1 more source

Residual Remaining Useful Life Prediction Method for Lithium-Ion Batteries in Satellite With Incomplete Healthy Historical Data

IEEE Access, 2019
Due to the strict requirements of satellite systems, accurate remaining useful life (RUL) prediction of the key components is very important to the reliability and security of satellite systems.
Jian Peng, Zhongbao Zhou, Jiongqi Wang, Di Wu, Yinman Guo   +4 more
doaj   +1 more source

SOH and RUL Prediction of Lithium-Ion Batteries Based on Gaussian Process Regression with Indirect Health Indicators

, 2020
The state of health (SOH) and remaining useful life (RUL) of lithium-ion batteries are two important factors which are normally predicted using the battery capacity.
Jianyu Liang, Jianchao Zeng, Jianfang Jia, Xiaoqiong Pang, Yuanhao Shi, Jie Wen   +5 more
core   +1 more source

Enhanced Prediction of the Remaining Useful Life of Rolling Bearings Under Cross-Working Conditions via an Initial Degradation Detection-Enabled Joint Transfer Metric Network

Applied Sciences
Remaining useful life (RUL) prediction of rolling bearings is of significance for improving the reliability and durability of rotating machinery.
Lingfeng Qi, Jiafang Pan, Tianping Huang, Zhenfeng Zhou, Faguo Huang   +4 more
doaj   +1 more source

Unsupervised Kernel Regression Modeling Approach for RUL Prediction.

, 2014
International audienceRecently, Prognostics and Health Management (PHM) has gained attention from the industrial world since it aims at increasing safety and reliability while reducing the maintenance cost by providing a useful prediction about the ...
Morello, Brigitte, Zerhouni, Noureddine, Khelif, Racha, Racha Khelif, Simon Malinowski, Noureddine Zerhouni, Malinowski, Simon, Brigitte Chebel Morello   +7 more
core  

Indirect Prediction of Lithium-Ion Battery RUL Based on CEEMDAN and CNN-BiGRU

Predicting the remaining useful life (RUL) of lithium-ion batteries is crucial for enhancing their reliability and safety. Addressing the issue of inaccurate RUL predictions caused by the nonlinear decay resulting from capacity regeneration, this paper ...
Kai Lv, Guangchen Liu, Zhiqiang Ma, Caijilahu Bao   +3 more
core   +1 more source

Degradation modeling and RUL prediction using Wiener process subject to multiple change points and unit heterogeneity [PDF]

, 2018
Degradation modeling is critical for health condition monitoring and remaining useful life prediction (RUL). The prognostic accuracy highly depends on the capability of modeling the evolution of degradation signals.
Wu, Jianguo, Tseng, Tzu-Liang Bill, Tzu-Liang(Bill) Tseng, Yuxin Wen, Jianguo Wu, Das, Devashish, Devashish Das, Wen, Yuxin   +7 more
core   +1 more source

Machine Learning-Driven RUL Prediction and Uncertainty Quantification for Ball Screw Drives in a Cloud-Ready Maintenance Framework [PDF]

In today's rapidly evolving industrial landscape, efficient predictive maintenance solutions are essential for minimizing downtime and enhancing productivity.
Liu, Bolin, Alexander Bott, Juergen Fleischer, Puchta, Alexander, Fleischer, Juergen, Alexander Puchta, Bott, Alexander, Bolin Liu   +7 more
core   +1 more source

RUL Prediction of Railway PCCS Based on Wiener Process Model with Unequal Interval Wear Data

, 2020
The railway pantograph carbon contact strip (PCCS) plays a critical role in collecting the electric current from the catenary to guarantee the steady power supply for the train. The catenary contacts with the PCCS and slides from one side to another side
Xiukun Wei, Ye He, Qingluan Guan, Haiqiang Zhang, Limin Jia   +4 more
core   +1 more source

A Directed Acyclic Graph Network Combined With CNN and LSTM for Remaining Useful Life Prediction

IEEE Access, 2019
Accurate and timely prediction of remaining useful life (RUL) of a machine enables the machine to have an appropriate operation and maintenance decision.
Jialin Li, Xueyi Li, David He
doaj   +1 more source