Results 61 to 70 of about 10,541,846 (196)

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

Histidine Supplementation Stabilizes Hearing and Vision and Improves Growth in HARS1‐Related Autosomal Recessive Disorder Associated With Usher‐Like Symptoms

American Journal of Medical Genetics Part A, Volume 200, Issue 10, Page 2289-2308, October 2026.
ABSTRACT Autosomal recessive HARS1‐related disorder (originally described as Usher syndrome type 3B) caused by a homozygous Y454S variant in the histidyl‐tRNA synthetase gene (HARS1) is characterized by progressive sensorineural hearing and vision loss and respiratory deterioration with risk for sudden death following febrile illnesses.
Victoria Mok Siu, Rosan Kenana, Rana Chakrabarti, Sarah D. P. Wilhelm, Joseph Andrews, Susan J. Leat, Christina Parker, Michael Miller, Leslie A. Nangle, Wendy McCaul, Ashfia Chowdhury, Natalie Hutchings, Ryan A. Adams, Lauren Guy, Mandy Rhody, Verena Juncal, Marisa I. Mendes, Desiree E. C. Smith, Gajja S. Salomons, Angelica A. Moresco, Daphne L. McCulloch, D. Holmes Morton, Ilka U. Heinemann, C. Anthony Rupar   +23 more
wiley   +1 more source

Remaining Useful Life Prediction-Based Maintenance Decision Model for Stochastic Deterioration Equipment under Data-Driven

, 2021
Currently, the Remaining Useful Life (RUL) prediction accuracy of stochastic deterioration equipment is low. Existing researches did not consider the impact of imperfect maintenance on equipment degradation and maintenance decisions.
Pengfei Li, Song Ming, Xiangang Cao
core   +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

Reliable Intelligent Diagnostics With Uncertainty Quantification for Mechanical System Condition Assessment

Quality and Reliability Engineering International, Volume 42, Issue 6, Page 2896-2916, October 2026.
ABSTRACT Health condition assessment of mechanical systems is essential to ensure their safe and reliable operation. Although AI‐driven diagnostic techniques have advanced significantly with the development of deep learning, the reliability of such techniques is often compromised due to the lack of uncertainty quantification (UQ)—particularly the ...
Guangjun Jiang, Haotian Ouyang, Zifei Xu
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

LiBrain: LLM‐powered Li‐ion battery diagnostics with time‐series‐aware retrieval‐augmented framework for E‐bikes

AI Magazine, Volume 47, Issue 3, Fall 2026.
Abstract The rapid proliferation of smart‐city ecosystems has significantly amplified the demand for Li‐ion batteries, which now serve as the primary energy source for sustainable transportation systems such as e‐bikes. Ensuring battery safety and optimal performance is crucial, yet challenging due to complex intrinsic dynamics and extrinsic operating ...
Zhao Li, Zixin Lin, Donghui Ding, Haitao Xu   +3 more
wiley   +1 more source

Metal Battery Anode: Rich in Electrons, Rich in Problems: A Critical Review from Industrial Perspectives

Advanced Science, Volume 13, Issue 49, 3 September 2026.
Metal‐anode batteries using Li, Na, Mg, and Ca offer exceptionally high energy density, but dendrites, unstable interphases, cracking, and pore formation hinder durability and safety. This review shows how careful electrolyte and interphase design can stabilize these reactive metals.
Jian Pan, Chan Shu, Oscar Tutusaus, Rana Mohtadi   +3 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

Prognostic Approaches for Early Detection of Thermal Runaway in Lithium‐Ion Batteries

Battery Energy, Volume 5, Issue 5, September 2026.
This article reviews methodologies for early detection of thermal runaway in lithium‐ion batteries, focusing on thermal, electrical, mechanical, and gas‐based precursors. It compares detection performance, reliability, lead time, and system‐level integration challenges to guide the development of practical, robust prognostic safety architectures.
Sahithi Maddipatla, Byoungchul Kwon, Judith Jeevarajan, Michael Pecht   +3 more
wiley   +1 more source