Results 81 to 90 of about 1,541,566 (221)

LiRUL: A physics-constrained and lightweight learning framework for edge-based RUL prediction [PDF]

Accurate prediction of the Remaining Useful Life (RUL) of lithium-ion batteries is essential for ensuring operational safety, reliability, and cost-effective lifecycle management in electric vehicles and energy storage systems.
Niri, Mona Faraji, El-Dalahmeh, Mo’ath, Liu, Xiaodong, Marco, James, Al-Dubai, Ahmed, Pournazari, Jaber, Park, Dong-Hwan, Dinh, Truong Quang, Ahn, Jung-Hoon   +8 more
core   +1 more source

Remaining Useful Life Prediction for Lithium-Ion Battery: A Deep Learning Approach

IEEE Access, 2018
Accurate prediction of remaining useful life (RUL) of lithium-ion battery plays an increasingly crucial role in the intelligent battery health management systems. The advances in deep learning introduce new data-driven approaches to this problem.
Lei Ren, Li Zhao, Sheng Hong, Shiqiang Zhao, Hao Wang, Lin Zhang   +5 more
doaj   +1 more source

Does the Loss of Autobiographical Memories Contribute to the Therapeutic Effect of Electroconvulsive Therapy?

Acta Psychiatrica Scandinavica, Volume 154, Issue 4, Page 286-295, October 2026.
ABSTRACT Objective For decades, a persistent claim has been that autobiographical memory loss after electroconvulsive therapy (ECT) for depression might actually contribute to ECT efficacy by reducing or even eliminating autobiographical memories. To test this claim, the primary aim of this study is to examine the association between autobiographical ...
Mike van Kessel, Joris van der Vlugt‐Molenaar, Isidoor O. Bergfeld, Eric van Exel, Jaap Murre, Jasmien Obbels, Pascal Sienaert, Kristof Vansteelandt, Esmée Verwijk   +8 more
wiley   +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

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

Integrating Machine Learning-Based Remaining Useful Life Predictions with Cost-Optimal Block Replacement for Industrial Maintenance

International Journal of Prognostics and Health Management
This study presents a preventive maintenance methodology to predict the remaining useful life (RUL) of mechanical systems and determine cost-effective replacement schedules.
Young-Suk Choo, Seung-Jun Shin
doaj   +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

Green Innovation and Firm Efficiency: The Role of Institutional Quality in Italian High‐Tech Manufacturing Sectors

Business Strategy and the Environment, Volume 35, Issue 6, Page 7867-7885, September 2026.
ABSTRACT The aim of this research is to verify whether institutional quality affects the relationship between green innovation and firm efficiency within the high‐tech manufacturing sectors. To estimate jointly the parameters of a stochastic frontier and the coefficients of a model explaining technical inefficiency, we employed the one‐step estimation ...
Mariarosaria Agostino, Sandro Rondinella, Marianna Succurro   +2 more
wiley   +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

Remaining Life Prediction of Bearings Based on Improved IF-SCINet

IEEE Access
In the field of health management, predicting the remaining useful life (RUL) of a device becomes critical. However, the RUL prediction process is often affected by a various of confounding factors, resulting in reduced prediction accuracy.
Jing Zhang, Chao Zhang, Shuai Xu, Guiyi Liu, Hongbo Fei, Le Wu   +5 more
doaj   +1 more source