Results 101 to 110 of about 9,187,359 (195)

Aircraft Engine Remaining Useful Life Prediction Using Machine Learning

Proceedings of the International Florida Artificial Intelligence Research Society Conference
Knowing the Remaining Useful Life (RUL) of aircraft engines is of paramount importance in the aviation industry. RUL helps anticipate engine failures beforehand so that airlines can proactively schedule maintenance, optimize resource allocation, and ...
Michael Kimollo, Xudong Liu
doaj   +1 more source

基于无迹卡尔曼滤波的直升机主减速器剩余安全寿命预测

Jixie chuandong, 2014
An efficient remaining useful life（RUL）can provide key information for manager to make preventive maintenance strategy and prevent equipment unexpected downtime.Aim to nonlinear state process of equipment and real-time demand of life prediction in ...
林国语, 贾云献, 孙磊
doaj  

Remaining Useful Life (RUL) Prognosis of Composite materials

Report showing the approaches for Remaining Useful Life RUL Prognosis of Composite ...
openaire   +1 more source

Estimation and uncertainty quantification of remaining useful life (RUL) of electric vehicle batteries using a temporal deep model. [PDF]

Sci Rep
Kong Z, Li S, Wang C.
europepmc   +1 more source

Sensor-Based Channel-Wise Remaining Useful Life Estimation and Multi-Threshold Maintenance Policy for Steel-Cord Conveyor Belts. [PDF]

Sensors (Basel)
Błażej R, Jurdziak L, Rzeszowska A.
europepmc   +1 more source

A cross-domain deep learning framework for remaining useful life prediction in industrial applications. [PDF]

PLoS One
Saha S, Pervaiz MA, Rahman MS, Hasan R, Rahman A.   +4 more
europepmc   +1 more source

An integrated Gaussian-Probabilistic-Fuzzy framework for health assessment and remaining useful life prediction of medium-voltage switchgears. [PDF]

PLoS One
Aranizadeh A, Vahidi B, Khorsandi A.
europepmc   +1 more source

Estimating IOHMM parameters to compute remaining useful life of system

, 2019
International audienceThis paper is about Input-Output Hidden Markov Model (IOHMM) to compute the remaining useful life (RUL) of a system with different operating conditions.
Simon, Christophe, Shahin, Kamrul Islam, WEBER, Philippe   +2 more
core  

Deep learning-based RUL and SOH prediction of lithium-ion batteries using LOCO. [PDF]

Sci Rep
Ali B, Matloob I, Alkhalifa N, Alkhalifa AK, Asim N, Kanwal S, Inam S.   +6 more
europepmc   +1 more source

Attention-Based Quantile Regression for RUL Uncertainty Prediction. [PDF]

Sensors (Basel)
Huang L, Hu X, Gong L, Liu Y, Yang S.
europepmc   +1 more source