Results 81 to 90 of about 20,775 (227)

Prediction of Remaining Useful Life of Aero-engines Based on CNN-LSTM-Attention

open access: yesInternational Journal of Computational Intelligence Systems
Accurately predicting the remaining useful life (RUL) of aircraft engines is crucial for maintaining financial stability and aviation safety. To further enhance the prediction accuracy of aircraft engine RUL, a deep learning-based RUL prediction method ...
Sizhe Deng, Jian Zhou
semanticscholar   +1 more source

A novel gear RUL prediction method by diffusion model generation health index and attention guided multi-hierarchy LSTM

open access: yesScientific Reports
Gears, as indispensable components of machinery, demand accurate prediction of their Remaining Useful Life (RUL). To enhance the utilization of ordered information within time series data and elevate RUL prediction precision, this study introduces the ...
Xinping Chen
doaj   +1 more source

Predicting the Remaining Useful Lifetime of a Proton Exchange Membrane Fuel Cell using an Echo State Network

open access: yes, 2014
International audienceOne remaining technological bottleneck to develop industrial Fuel Cell (FC) applications resides in the system limited useful lifetime.
Gouriveau, Rafael   +4 more
core   +1 more source

BACE-RUL: A Bi-directional Adversarial Network with Covariate Encoding for Machine Remaining Useful Life Prediction

open access: yes
Prognostic and Health Management (PHM) are crucial ways to avoid unnecessary maintenance for Cyber-Physical Systems (CPS) and improve system reliability. Predicting the Remaining Useful Life (RUL) is one of the most challenging tasks for PHM. Existing methods require prior knowledge about the system, contrived assumptions, or temporal mining to model ...
Zekai Zhang   +6 more
openaire   +2 more sources

Prognostics of PEM fuel cell in a particle filtering framework.

open access: yes, 2014
International audienceProton Exchange Membrane Fuel Cells (PEMFC) suffer from a limited lifespan, which impedes their uses at a large scale. From this point of view, prognostics appears to be a promising activity since the estimation of the Remaining ...
Gouriveau, Rafael   +4 more
core   +1 more source

Application of state of health estimation and remaining useful life prediction for lithium-ion batteries based on AT-CNN-BiLSTM

open access: yesScientific Reports
Ensuring the long-term safe usage of lithium-ion batteries hinges on accurately estimating the State of Health \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy ...
Feng-Ming Zhao   +3 more
semanticscholar   +1 more source

A hybrid prognostics approach to estimate the residual useful life of a planetary gearbox with a local defect [PDF]

open access: yes, 2015
A hybrid prognostics approach for the monioring of a planetary gearbox with the local defect is presented. This hybrid method can predict the remaining useful life (RUL) of planetary gearbox with a fatigue crack.
Zhe Cheng
core   +1 more source

Bearing Remaining Useful Life Prediction Based on a Nonlinear Wiener Process Model

open access: yesShock and Vibration, 2018
Prognostic is an essential part of condition-based maintenance, which can be employed to enhance the reliability and availability and reduce the maintenance cost of mechanical systems.
Juan Wen, Hongli Gao, Jiangquan Zhang
doaj   +1 more source

Prognostics with autoregressive moving average for railway turnouts [PDF]

open access: yes, 2010
Turnout systems are one of the most critical systems on railway infrastructure. Diagnostics and prognostics on turnout system have ability to increase the reliability & availability and reduce the downtime of the railway infrastructure.
Camci, Faith   +4 more
core  

Prediction of Remaining Useful Life (RUL) of Lithium ion (Li-ion) Batteries

open access: yes, 2020
In recent time Li-ion battery gained popularity because of their high charge density, portability and longer life span. It compliments the human quest for green energy. As many of the green energy applications like Electrical Vehicle, Wind Energy and Solar Energy use Li-ion battery as their energy storage device.
openaire   +1 more source

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