Results 61 to 70 of about 11,244 (210)

A Review of Remaining Useful Life Prediction for Energy Storage Components Based on Stochastic Filtering Methods

Energies, 2023
Lithium-ion batteries are a green and environmental energy storage component, which have become the first choice for energy storage due to their high energy density and good cycling performance.
Liyuan Shao, Yong Zhang, Xiujuan Zheng, Xin He, Yufeng Zheng, Zhiwei Liu   +5 more
doaj   +1 more source

Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction.

, 2014
International audienceReliability of prognostics and health management systems (PHM) relies upon accurate understanding of critical components' degradation process to predict the remaining useful life (RUL).
Medjaher, Kamal, Mosallam, Ahmed, Zerhouni, Noureddine   +2 more
core   +3 more sources

Intelligent Advisor System for Prescriptive Maintenance of Engineered Assets Using Failure Modes, Effects and Criticality Analysis, Knowledge Graph and Machine Learning

Artificial Intelligence for Engineering, EarlyView.
This paper presents an intelligent advisor for prescriptive maintenance that integrates FMECA, machine learning, and knowledge graphs to support fault diagnosis and root‐cause analysis. Validated on a linear actuator, the framework enhances diagnostic interpretability and traceability, linking sensor‐level anomalies to transparent knowledge‐driven ...
Hongyi Lin, Agusmian Partogi Ompusunggu
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

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

On the role of Prognostics and Health Management in advanced maintenance systems [PDF]

, 2016
The advanced use of the Information and Communication Technologies is evolving the way that systems are managed and maintained. A great number of techniques and methods have emerged in the light of these advances allowing to have an accurate and ...
Crespo Márquez, Adolfo, Guillén López, Antonio Jesús, Gómez López, Francisco José, Macchi, Marco   +3 more
core   +2 more sources

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source

‘Let's Turn the Grass Into Meat’: Animal Husbandry as Women's Work in Cold War North Korea

Gender &History, EarlyView.
ABSTRACT In postcolonial North Korea, the future of the nation was said to be a function of the feedlot. Unobtainable on the battlefields of the recently ended Korean War, liberation and unification of the peninsula became a question of competitive developmentalism.
Sunho Ko, Derek J. Kramer
wiley   +1 more source

An Improved Method for Predicting the Remaining Useful Life Using a Spatial–Temporal Feature Extraction Network With Attention Mechanism

IEEE Access
The prediction of the remaining useful life (RUL) of mechanical equipment is of vital importance to its operation and maintenance. Deep learning methods can effectively extract degradation information closely related to equipment RUL from extensive ...
Xiaojia Yan, Weige Liang, Shiyan Sun
doaj   +1 more source

RUL Prognostics: Recursive Bayesian Ensemble Prediction with Combining Artificial Degradation Patterns

International Journal of Prognostics and Health Management, 2023
With the rising complexity of manufacturing processes, resulting from rapid industrial development, the utilization of remaining useful lifecycle (RUL) prediction, based on failure physics and traditional reliability, has remained limited.
Junhyun Byun, Suhong Min, Jihoon Kang
doaj   +1 more source