Results 31 to 40 of about 4,709,515 (265)

Transfer Learning Based on Transferability Measures for State of Health Prediction of Lithium-Ion Batteries

open access: yesBatteries, 2023
Lithium-ion (Li-ion) batteries are considered to be one of the ideal energy sources for automotive and electronic products due to their size, high levels of charge, higher energy density, and low maintenance.
Zemenu Endalamaw Amogne   +2 more
doaj   +1 more source

A Novel Life Prediction Model Based on Monitoring Electrical Properties of Self-Sensing Cement-Based Materials

open access: yesApplied Sciences, 2021
Assessing the damage level in concrete infrastructures over time is a critical issue to plan their timely maintenance with proper actions. Self-sensing concretes offer new opportunities for damage assessment by monitoring their electrical properties and ...
Mostafa Adresi   +3 more
doaj   +1 more source

jiaxiang-cheng/transformer-pytorch-remaining-useful-life-prediction: Pre-release with Minimum Implementation

open access: yes, 2021
Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021).
Jia-Xiang Cheng
core   +1 more source

Estimation of Health Indicators using Advanced Analytics for Prediction of Aircraft Systems Remaining Useful Lifetime

open access: yesPHM Society European Conference, 2020
A valuable asset for the improvement of aviation maintenance is the correct assessment of the aircraft systems health condition, for a more accurate planning and execution of maintenance routines. As such, the creation of a Prognostic and Health Management (PHM) system, supported by Condition Based Maintenance (CBM) can bring important benefits to the ...
Daniel Azevedo   +2 more
openaire   +1 more source

jiaxiang-cheng/cnn-pytorch-remaining-useful-life-prediction: RUL Prediction with CNN

open access: yes, 2021
Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep convolutional neural network-based regression approach for estimation of remaining useful life. In International conference on database systems for advanced applications (pp.
Jia-Xiang Cheng
core   +1 more source

Joint Maintenance Decision Based on Remaining Useful Lifetime Prediction Using Accelerated Degradation Data

open access: yesIEEE Access, 2022
Existing joint maintenance decision research typically ignores remaining useful lifetime (RUL) predictions for the accelerated degradation of equipment.
Dingyuan Xue, Zezhou Wang, Yunxiang Chen
doaj   +1 more source

Online Remaining Useful Lifetime Prediction Using Support Vector Regression [PDF]

open access: yes, 2022
An accurate prediction of remaining useful lifetime (RUL) in high reliability and safety electronic systems is required due to its wide use in industrial applications. In this paper, we propose a novel methodology for online RUL prediction, using support
Rossi, D   +3 more
core   +3 more sources

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

open access: yesFEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source

Satellite Lithium-Ion Battery Remaining Cycle Life Prediction with Novel Indirect Health Indicator Extraction

open access: yesEnergies, 2013
Prognostics and remaining useful life (RUL) estimation for lithium-ion batteries play an important role in intelligent battery management systems (BMS). The capacity is often used as the fade indicator for estimating the remaining cycle life of a lithium-
Haitao Liao   +4 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy