Results 11 to 20 of about 11,244 (210)

Demonstration of a Response Time Based Remaining Useful Life (RUL) Prediction for Software Systems

open access: yesCoRR, 2023
Prognostic and Health Management (PHM) has been widely applied to hardware systems in the electronics and non-electronics domains but has not been explored for software. While software does not decay over time, it can degrade over release cycles. Software health management is confined to diagnostic assessments that identify problems, whereas prognostic
Ray Islam, Peter Sandborn
openaire   +3 more sources

XGBoost-Based Remaining Useful Life Estimation Model with Extended Kalman Particle Filter for Lithium-Ion Batteries

open access: yesSensors, 2022
The instability and variable lifetime are the benefits of high efficiency and low-cost issues in lithium-ion batteries.An accurate equipment’s remaining useful life prediction is essential for successful requirement-based maintenance to improve ...
Sadiqa Jafari, Yung-Cheol Byun
doaj   +1 more source

Three-Stage Wiener-Process-Based Model for Remaining Useful Life Prediction of a Cutting Tool in High-Speed Milling

open access: yesSensors, 2022
Tool condition monitoring can be employed to ensure safe and full utilization of the cutting tool. Hence, remaining useful life (RUL) prediction of a cutting tool is an important issue for an effective high-speed milling process-monitoring system ...
Weichao Liu, Wen-An Yang, Youpeng You
doaj   +1 more source

Shapelet selection based on a genetic algorithm for remaining useful life prediction with supervised learning

open access: yesHeliyon, 2022
RUL (remaining useful life) shapelets were recently developed to overcome the shortcomings of similarity-based RUL prediction methods, such as high sensitivity to parameters.
Gilseung Ahn   +3 more
doaj   +1 more source

Long Short-Term Memory Neural Network with Transfer Learning and Ensemble Learning for Remaining Useful Life Prediction

open access: yesSensors, 2022
Prediction of remaining useful life (RUL) is greatly significant for improving the safety and reliability of manufacturing equipment. However, in real industry, it is difficult for RUL prediction models trained on a small sample of faults to obtain ...
Lixiong Wang   +5 more
doaj   +1 more source

Research on Remaining Useful Life Prognostics Based on Fuzzy Evaluation-Gaussian Process Regression Method

open access: yesIEEE 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

Review on State Estimation and Remaining Useful Life Prediction Methods for Lithium-ion Battery

open access: yes发电技术, 2023
Accurate estimation of state of charge (SOC), battery state of health (SOH) and prediction of battery remaining useful life (RUL) of lithium-ion battery are important contents of battery management. It is of great significance to prolong battery life and
ZHAO Jiahui, TIAN Liting, CHENG Lin
doaj   +1 more source

A Novel Approach of Label Construction for Predicting Remaining Useful Life of Machinery

open access: yesShock and Vibration, 2021
Rolling bearings are key components of rotating machinery, and predicting the remaining useful life (RUL) is of great significance in practical industrial scenarios and is being increasingly studied.
Hailong Lin   +7 more
doaj   +1 more source

A Framework for Predicting Remaining Useful Life Curve of Rolling Bearings Under Defect Progression Based on Neural Network and Bayesian Method

open access: yesIEEE Access, 2021
In order to improve Remaining Useful Life (RUL) prediction accuracy for rolling bearings under defect progressing, the robustness for individual differences and the fluctuation of vibration features are challenging issues.
Masashi Kitai   +5 more
doaj   +1 more source

Stochastic RUL calculation enhanced with TDNN-based IGBT failure modeling [PDF]

open access: yes, 2016
Power electronics are widely used in the transport and energy sectors. Hence, the reliability of these power electronic components is critical to reducing the maintenance cost of these assets.
Alghassi, Alireza   +2 more
core   +1 more source

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