Results 91 to 100 of about 18,585 (221)
Research progress on remaining useful life interval prediction of equipment based on deep learning
工程科学学报Deep learning has been extensively employed for predicting the remaining useful life (RUL) of equipment owing to the powerful feature extraction ability of deep learning.
Chuang CHEN, Xianfeng LI, Jiantao SHI
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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 +5 more
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Health Prognostics in Multi‐Sensor Systems Based on Multivariate Functional Data Analysis
Applied Stochastic Models in Business and Industry, Volume 42, Issue 3, May/June 2026.ABSTRACT Recent developments in big data analysis, machine learning, Industry 4.0, and IoT applications have enabled the monitoring and processing of multi‐sensor data collected from systems, allowing for the prediction of the “Remaining Useful Life” (RUL) of system components.
Cevahir Yildirim +2 more
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Applied SciencesRemaining useful life (RUL) prediction of rolling bearings is of significance for improving the reliability and durability of rotating machinery.
Lingfeng Qi +4 more
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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
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Prognostics: Design, Implementation, and Challenges [PDF]
, 2015 Prognostics is an essential part of condition-based maintenance (CBM), described as predicting the remaining useful life (RUL) of a system. It is also a key technology for an integrated vehicle health management (IVHM) system that leads to improved ...
Skaf, Zakwan
core
Data-driven Approach for RUL Prediction of an Experimental Filtration System
PHM Society European Conference, 2020 This paper illustrates a data-driven approach adopted to address the PHME2020 Data Challenge competition. The aim of the challenge was to estimate the Remaining Useful Lifetime (RUL) of an experimental filtration device analyzing its clogging status by means of static (e.g. data sheets, fluid type, sensors) and dynamic (e.g.
H. Beirami +5 more
openaire +3 more sources
Journal of Extracellular Vesicles, Volume 15, Issue 5, May 2026.Plasma sEV‐GCC2 enables early detection and prognostic stratification of lung adenocarcinoma. This multicenter study integrates biomarker validation with functional evidence, supporting sEV‐GCC2 as a clinically relevant biomarker. ABSTRACT Emerging evidence suggests that GRIP and coiled‐coil domain‐containing two enriched small extracellular vesicles ...
Byeong Hyeon Choi +11 more
wiley +1 more source
Using a high fidelity CCGT simulator for building prognostic systems [PDF]
, 2013 Pressure to reduce maintenance costs in power utilities has resulted in growing interest in prognostic monitoring systems. Accurate prediction of the occurrence of faults and failures would result not only in improved system maintenance schedules but ...
Catterson, Victoria +3 more
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Journal of Extracellular Vesicles, Volume 15, Issue 5, May 2026.ABSTRACT The role of human umbilical cord mesenchymal stem cell‐derived extracellular vesicles (hUCMSC‐EVs) in liver regeneration is promising, yet their clinical translation is hampered by insufficient production. Current strategies targeting their secretion are inefficient and lack a clear mechanistic understanding.
Yu Fu +14 more
wiley +1 more source