Results 51 to 60 of about 1,541,566 (221)

Remaining Useful Life Prediction for Rolling Bearings Based on TCN–Transformer Networks Using Vibration Signals

Sensors
Remaining useful life (RUL) prediction plays a core role in industrial prognostics and health management (PHM), requiring data-driven models with higher predictive capability for accurate long time series prediction.
Xiaochao Jin, Yaping Ji, Shiteng Li, Kailang Lv, Jianzheng Xu, Haonan Jiang, Shengnan Fu   +6 more
doaj   +1 more source

Remaining Useful Lifetime (RUL): Probabilistic Predictive Model

International Journal of Prognostics and Health Management, 2021
Reliability evaluations and assurances cannot be delayed until the device (system) is fabricated and put into  operation. Reliability of an electronic product should be  conceived at the early stages of its design; implemented during manufacturing; evaluated (considering customer requirements and the existing specifications), by  electrical, optical ...
openaire   +3 more sources

Joint Maintenance Decision Based on Remaining Useful Lifetime Prediction Using Accelerated Degradation Data

IEEE Access, 2022
Existing joint maintenance decision research typically ignores remaining useful lifetime (RUL) predictions for the accelerated degradation of equipment.
Dingyuan Xue, Zezhou Wang, Yunxiang Chen
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

A Probabilistic Fractional Order Physics Informed Mamba Kolmogorov‐Arnold Network for State‐of‐Charge Estimation in Grid‐Connected Battery Energy Storage Systems

Energy Science &Engineering, EarlyView.
This paper introduces the probabilistic fractional‐order Mam‐KAN (PFO‐Mam‐KAN) controller, a physics‐informed gray‐box framework for real‐time battery state‐of‐charge estimation. By unifying efficient Mamba encoders with uncertainty‐aware fractional physics, it achieves superior 0.31% RMSE accuracy and robust grid‐support operation under dynamic ...
Arun Kumar Rawat, Subhash Chandra, Vinay Kumar Deolia   +2 more
wiley   +1 more source

Prediction of RUL of Lubricating Oil Based on Information Entropy and SVM

, 2023
This paper studies the remaining useful life (RUL) of lubricating oil based on condition monitoring (CM). Firstly, the element composition and content of the lubricating oil in use were quantitatively analyzed by atomic emission spectrometry (AES ...
Zhongxin Liu, Dinghai Wu, Mingxing Hao, Huaiguang Wang   +3 more
core   +1 more source

Prediction of Failure in Lithium‐Rich Cathode Half‐Cells Using Early‐Cycle Data

Materials Genome Engineering Advances, EarlyView.
Using a dataset constructed from the performance evolution of Li‐rich cathode materials, a GBDT‐based model was developed for early half‐cell failure prediction. By using only data from the first 50 cycles, the model enables rapid identification of failure tendencies and provides an efficient tool for performance screening and evaluation.
Xiaoya Zhang, Jiayi Yao, Qi Liu, Zihao Dang, Pengfei Liu, Jingli Ren, Dongliang Peng   +6 more
wiley   +1 more source

Data-Driven Remaining Useful Life Prediction Considering Sensor Anomaly Detection and Data Recovery

IEEE Access, 2019
Prognostics and health management (PHM) is being adopted more and more in the modern engineering systems. As one of the most important technologies in the PHM domain, remaining useful life (RUL) prediction has attracted much attention from the ...
Liansheng Liu, Qing Guo, Datong Liu, Yu Peng   +3 more
doaj   +1 more source

Remaining useful life prediction method of EV power battery for DC fast charging condition

Energy Reports, 2022
To realize the online rapid prediction of the remaining useful life (RUL) of electric vehicle (EV) power battery under direct current (DC) fast charging conditions and reduce the influence of complex health indicator (HI) on the prediction accuracy, an ...
Shaotang Cai, Jun Hu, Shuoqi Ma, Zhenning Yang, Hao Wu   +4 more
doaj   +1 more source

Weibull Variational Autoencoder for Remaining Useful Life Prediction

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Remaining useful life (RUL) prediction is a critical technology for preventing unexpected failures and reducing maintenance costs in modern industrial systems. However, traditional model‐based approaches are limited by the need for explicit mathematical modeling of degradation mechanisms, while data‐driven methods often require large‐scale ...
JunWoo Yu, Yoojin Jang, Kwanghui Shin, Jinsoo Jeong, Yong Soo Kim   +4 more
wiley   +1 more source