Results 71 to 80 of about 9,526,985 (202)

Review of Insulation Ageing and Lifecycle Management for Oil‐Immersed Power Equipment: From Conventional Testing Analysis to Artificial Intelligence Method

High Voltage, EarlyView.
ABSTRACT Oil‐immersed power equipment is a critical component for energy transmission and secure operation of modern power grids. The ageing of oil–paper insulation under combined electrical, thermal and mechanical stresses directly affects equipment lifetime and system reliability. This paper presents a comprehensive review of the ageing behaviour and
Ruijin Liao, Jian Hao, Jing Xu, George Chen, Huanchao Cheng, Jiacong Li, Xize Dai   +6 more
wiley   +1 more source

Predicting Remaining Useful Life of Lithium-Ion Batteries for Electric Vehicles Using Machine Learning Regression Models

ITEGAM-JETIA
Accurate prediction of a lithium-ion battery's remaining useful life (RUL) is essential for effectively managing and maintaining electric vehicles (EVs). By anticipating battery health and potential failures, we can optimize performance, enhance safety,
Sravanthi C L, Dr.J N Chandra sekhar
doaj   +1 more source

Comparative Satellitomics in Arowanas (Telostei, Osteoglossiformes) Sheds Light on the Evolution of Ancient Satellite DNAs

Integrative Zoology, EarlyView.
This work focused on arowana fishes (Teleostei, Osteoglossiformes) as a model; their widespread intercontinental distribution and basal phylogenetic position within Teleostei make them a compelling model for evolutionary research, especially in the realm of satDNA molecular evolution. Through the integration of genomic and chromosomal data, we analyzed
Fernando Henrique Santos de Souza, Gustavo Akira Toma, Jhon Alex Dziechciarz Vidal, Manuel Angel Garrido‐Ramos, Guilherme Mota Souza, Rodrigo Zeni Dos Santos, Fábio Porto‐Foresti, Thomas Liehr, Ricardo Utsunomia, Marcelo de Bello Cioffi   +9 more
wiley   +1 more source

A Hybrid CNN-LSTM Approach for Laser Remaining Useful Life Prediction

, 2022
A hybrid prognostic model based on convolutional neural networks (CNN) and long short-term memory (LSTM) is proposed to predict the laser remaining useful life (RUL).
Helmut Griesser (1709938), Khouloud Abdelli (14413326), Stephan Pachnicke (5263841)   +2 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

Research on Remaining Useful Life Prognostics Based on Fuzzy Evaluation-Gaussian Process Regression Method

IEEE Access, 2020
To achieve efficient and accurate remaining life prediction and effectively express the uncertainty of prediction results, this paper proposes a remaining life prediction method based on fuzzy evaluation-Gaussian process regression (FE-GPR).
Weijie Kang, Jiyang Xiao, Mingqing Xiao, Yangguang Hu, Haizhen Zhu, Jianfeng Li   +5 more
doaj   +1 more source

Quantitative Dual‐Energy CT Perfusion Versus SPECT/CT V/Q Scintigraphy for Preoperative Lung Function Assessment: A Prospective Cohort Study

Journal of Medical Imaging and Radiation Oncology, EarlyView.
ABSTRACT Introduction Accurate preoperative physiological assessment is critical for high‐risk patients undergoing lung resection to predict postoperative lung function. This study compared quantitative dual‐energy CT (DECT) perfusion with SPECT/CT for lobar perfusion mapping in an at‐risk oncological cohort.
Jack Edward Liu, Kane Nicholls, Audree So, Siddharth M. Kulkarni, Anthony Tu Tran, Stephen A. Barnett, Amy Baker   +6 more
wiley   +1 more source

Remaining Useful Life Estimation (RUL) For Critical Mechanical Components In Tractor

International Journal For Multidisciplinary Research
The proposed framework utilizes an evolutionary mathematical approach to optimize data-related parameters for estimating the Remaining Useful Life (RUL) of critical mechanical components. By integrating advanced time window techniques and considering factors like downtime and failure occurrences, it offers a comprehensive solution for RUL prediction ...
SAHIL BHAGAT -, SANJEEV GUPTA -, PARDEEP SINGH -   +2 more
openaire   +1 more source

Remaining Useful Life Estimation of MoSi₂ Heating Element in a Pusher Kiln Process

Sensors
The critical challenge of estimating the Remaining Useful Life (RUL) of MoSi2 heating elements utilized in pusher kiln processes is to enhance operational efficiency and minimize downtime in industrial applications.
Hafiz M. Irfan, Po-Hsuan Liao, Muhammad Ikhsan Taipabu, Wei Wu   +3 more
doaj   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, Volume 13, Issue 56, 9 October 2026.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source