Results 61 to 70 of about 26,953 (213)
Probabilistic Monte-Carlo method for modelling and prediction of electronics component life [PDF]
, 2014 Power electronics are widely used in electric vehicles, railway locomotive and new generation aircrafts. Reliability of these components directly affect the reliability and performance of these vehicular platforms.
Alghassi, Ali +3 more
core +1 more source
Physics‐Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations
Quality and Reliability Engineering International, EarlyView.ABSTRACT This study addresses the challenge of predicting the state of health (SoH) and capacity degradation in Battery Energy Storage Systems (BESS) under highly variable conditions induced by frequent control adjustments. In environments where random walk behavior prevails due to stochastic control commands, conventional estimation methods often ...
Alaa Selim +3 more
wiley +1 more source
Integrated Bayesian Framework for Remaining Useful Life Prediction.
, 2014 International audienceIn this paper, a data-driven method for remaining useful life (RUL) prediction is presented. The method learns the relation between acquired sensor data and end of life time (EOL) to predict the RUL.
Medjaher, Kamal +2 more
core +2 more sources
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
ITEGAM-JETIAAccurate 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
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 +4 more
doaj +1 more source
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 +4 more
wiley +1 more source
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 +5 more
doaj +1 more source
Remaining useful life prediction for ball bearings based on health indicators [PDF]
MATEC Web of Conferences, 2019 Uncertainty in remaining useful life (RUL) prediction is nowadays a scientific problem that occupies industrials. Many prognostic models have been developed to respond to this issue from probabilistic to non-probabilistic approaches.
Al Masry Zeina +3 more
doaj +1 more source
Feature extraction and evaluation for Health Assessment and Failure prognostics. [PDF]
, 2012 International audienceThe estimation of Remaining Useful Life (RUL) of industrial equipments can be realized on their most critical components. Based on this assumption, the identified critical component must be monitored to track its health state during
Camci, Fatih +2 more
core +1 more source