Results 61 to 70 of about 10,974,174 (198)

A Real-Time Diagnostic System Using a Long Short-Term Memory Model with Signal Reshaping Technology for Ship Propellers

Sensors
This study develops a ship propeller diagnostic system to address the issue of insufficient ship maintenance capacity and enhance operational efficiency.
Sheng-Chih Shen, Chih-Chieh Chao, Hsin-Jung Huang, Yi-Ting Wang, Kun-Tse Hsieh   +4 more
doaj   +1 more source

A Transfer Learning-based Approach to Predict the Shelf life of Fruit

Inteligencia Artificial, 2021
Shelf-life prediction for fruits based on the visual inspection and with RGB imaging through external features becomes more pervasive in agriculture and food business.
Varsha Bhole, Arun Kumar
doaj   +1 more source

Remaining useful life (RUL) prediction of bearing by using regression model and principal component analysis (PCA) technique [PDF]

Vibroengineering Procedia, 2019
A wind turbine works under variable load and environmental conditions because of which failure rate has been on the rise. Failure of a gearbox, an integral part of producing wind energy, contributes to 80 % of the total downtime for the wind turbine.
Apakrita Tayade, Sangram Patil, Vikas Phalle, Faruk Kazi, Satvasheel Powar   +4 more
openaire   +1 more source

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

Remaining Useful Life Prediction of Quay Crane Hoist Gearbox Bearing under Dynamic Operating Conditions Based on ARIMA-CAPF Framework

Shock and Vibration, 2021
The remaining useful life (RUL) prediction of quay crane (QC) bearings is of great significance to port production safety. An RUL prediction framework of QC bearing under dynamic conditions is proposed.
Zhiwei Sun, Xiong Hu, Kai Dong
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

A Hybrid Genetic Algorithm–Particle Filter for Fatigue Crack Propagation Prediction

Applied Sciences
Fatigue crack propagation prediction plays a critical role in structural health monitoring and remaining useful life (RUL) assessment of engineering structures. However, conventional particle filter (PF) algorithms may suffer from particle impoverishment
Mei Li, Xiao Wu, Yuexi Liu, Jue Wang, Beng Ma   +4 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

A noval RUL prediction method for rolling bearing: TcLstmNet-CBAM

Scientific Reports
Rolling bearings are pivotal components within rotating mechanical systems, and accurately predicting their remaining service life holds significant practical importance.
Qiang Liu, Zhengwei Dai, Hongxi Lai, Minghao Chen, Huiyuan Huang, Jiahui Fu, Mingxin Hou, Xiaoming Xu, Guangbin Wang, Jin Yan   +9 more
doaj   +1 more source