Results 31 to 40 of about 2,036,846 (308)

Remaining Useful Life Estimation Using a Recurrent Variational Autoencoder

, 2021
A new framework for the assessment of Engine Health Monitoring (EHM) data in aircraft is proposed. Traditionally, prognostics and health management systems rely on prior knowledge of the degradation of certain components along with professional expert opinion to predict the Remaining Useful Life (RUL).
Nahuel Costa, Luciano Sánchez
openaire   +2 more sources

Aero-Engine Remaining Useful Life Prediction Based on Bi-Discrepancy Network

Sensors, 2023
Most unsupervised domain adaptation (UDA) methods align feature distributions across different domains through adversarial learning. However, many of them require introducing an auxiliary domain alignment model, which incurs additional computational ...
Nachuan Liu, Xiaofeng Zhang, Jiansheng Guo, Songyi Chen   +3 more
doaj   +1 more source

LSTM-Based Broad Learning System for Remaining Useful Life Prediction

Mathematics, 2022
Prognostics and health management (PHM) are gradually being applied to production management processes as industrial production is gradually undergoing a transformation, turning into intelligent production and leading to increased demands on the ...
Xiaojia Wang, Ting Huang, Keyu Zhu, Xibin Zhao   +3 more
doaj   +1 more source

Battery Remaining Useful Life Prediction with Inheritance Particle Filtering

Energies, 2019
Accurately forecasting a battery’s remaining useful life (RUL) plays an important role in the prognostics and health management of rechargeable batteries. An effective forecast is reported using a particle filter (PF), but it currently suffers from
Lin Li, Alfredo Alan Flores Saldivar, Yun Bai, Yun Li   +3 more
doaj   +1 more source

Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks

, 2018
In industrial applications, nearly half the failures of motors are caused by the degradation of rolling element bearings (REBs). Therefore, accurately estimating the remaining useful life (RUL) for REBs are of crucial importance to ensure the reliability
Cheng, Cheng, Ding, Han, Ma, Guijun, Sun, Mingyang, Teng, Fei, Yuan, Ye, Zhang, Yong   +6 more
core   +1 more source

Remaining Useful Life Estimation Using Functional Data Analysis [PDF]

2019 IEEE International Conference on Prognostics and Health Management (ICPHM), 2019
Accepted by IEEE International Conference on Prognostics and Health Management ...
Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Chetan Gupta 0001   +4 more
openaire   +2 more sources

Remaining Useful Life Estimation Framework for the Main Bearing of Wind Turbines Operating in Real Time

Energies
The prognosis of wind turbine failures in real operating conditions is a significant gap in the academic literature and is essential for achieving viable performance parameters for the operation and maintenance of these machines, especially those located
Januário Leal de Moraes Vieira, Felipe Costa Farias, Alvaro Antonio Villa Ochoa, Frederico Duarte de Menezes, Alexandre Carlos Araújo da Costa, José Ângelo Peixoto da Costa, Gustavo de Novaes Pires Leite, Olga de Castro Vilela, Marrison Gabriel Guedes de Souza, Paula Suemy Arruda Michima   +9 more
doaj   +1 more source

Lithium-ion Battery Degradation Assessment and Remaining Useful Life Estimation in Hybrid Electric Vehicle

Renewable Energy and Sustainable Development, 2016
—Prognostic activity deals with prediction of the remaining useful life (RUL) of physical systems based on their actual health state and their usage conditions.
Nabil Laayouj, Hicham Jamouli
doaj   +1 more source

Remaining Useful Life Prediction of High-Frequency Swing Self-Lubricating Liner

Shock and Vibration, 2021
The remaining useful life (RUL) prediction of self-lubricating spherical plain bearings is essential for replacement decision-making and the reliability of high-end equipment. The high-frequency swing self-lubricating liner (HSLL) is the key component of
Xiuhong Hao, Shuqiang Wang, Mengfan Chen, Deng Pan   +3 more
doaj   +1 more source

Integrated Bayesian Framework for Remaining Useful Life Prediction.

, 2014
International audienceIn this paper, a data-driven method for remaining useful life (RUL) prediction is presented. The method learns the relation between acquired sensor data and end of life time (EOL) to predict the RUL.
Medjaher, Kamal, Mosallam, Ahmed, Zerhouni, Noureddine   +2 more
core   +2 more sources