Results 31 to 40 of about 419,717 (299)
Remaining Useful Life Estimation Using Neural Ordinary Differential Equations
International Journal of Prognostics and Health Management, 2021 Data-driven machinery prognostics has seen increasing popularity recently, especially with the effectiveness of deep learning methods growing. However, deep learning methods lack useful properties such as the lack of uncertainty quantification of their ...
Marco Star, Kristoffer McKee
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Remaining Useful Life Prediction Under Imperfect Prior Degradation Information
IEEE Access, 2020 The remaining useful life (RUL) prediction is the core of equipment maintenance and decision-making. Accurate RUL prediction can make effective maintenance before the failure occurs to reduce the probability of equipment failure.
Wan Changhao +4 more
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Remaining Useful Life Prediction Using Temporal Convolution with Attention
AI, 2021 Prognostic techniques attempt to predict the Remaining Useful Life (RUL) of a subsystem or a component. Such techniques often use sensor data which are periodically measured and recorded into a time series data set.
Wei Ming Tan, T. Hui Teo
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Model-based prediction of the remaining useful life of the machines [PDF]
IFAC-PapersOnLine, 2016 Abstract Accurate prediction of the remaining useful life (RUL) of machines is becoming mandatory in exploiting the asset in an efficient and secure way by avoiding the unplanned downtimes. In this paper we present an approach to the RUL prediction developed for a shot blasting machine by analyzing the recordings from inexpensive vibrational sensors.
Pavle Boskoski +3 more
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Lithium-ion battery remaining useful life prediction [PDF]
, 2021 Lithium-Ion Battery Remaining Useful Life Prediction work consists of an initial approach to battery life prediction using Severson dataset and data-driven LSTM-based RUL predictive methods. Although the memory is written in English, the presentation
Larrarte Lizarralde, Beñat
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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
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Remaining useful life estimation of a Product [PDF]
Journal of Physics: Conference Series, 2020 Abstract A sudden failure of a product or a component may result in loss of valuable data or interruption in the task being carried out. In order to eliminate these kind of scenarios and to avoid unnecessary investments on the used products, the remaining life need to be predicted/estimated.
K Murali Krishna, Dr K Janardhan Reddy
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Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and support vector machine [PDF]
, 2012 Machine performance degradation assessment and remaining useful life (RUL) prediction are of crucial importance in condition-based maintenance to reduce the maintenance cost and improve the reliability.
Yang, Bo-Suk +3 more
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Estimation of the remaining useful life of hydro generators [PDF]
, 2021 O monitoramento da condição dos geradores é muito desejável para uma operação confiável de uma usina hidrelétrica. As atividades de manutenção podem ser programadas para evitar falhas inesperadas que podem levar a meses ou anos de máquinas paradas sem ...
BERNARDES JUNIOR, José Vitor
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Cross-Domain Remaining Useful Life Prediction Based on Adversarial Training
Machines, 2022 Remaining useful life prediction can assess the time to failure of degradation systems. Currently, numerous neural network-based prediction methods have been proposed by researchers.
Yuhang Duan +3 more
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