Results 21 to 30 of about 10,687,564 (278)
Deep Spatiotemporal Convolutional-Neural-Network-Based Remaining Useful Life Estimation of Bearings
The remaining useful life (RUL) estimation of bearings is critical for ensuring the reliability of mechanical systems. Owing to the rapid development of deep learning methods, a multitude of data-driven RUL estimation approaches have been proposed ...
Xu Wang +6 more
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Novel Transformer-Based Fusion Models for Aero-Engine Remaining Useful Life Estimation
Remaining Useful Life (RUL) estimation is a crucial technology in prognostic and health management (PHM) for modern aero-engines, as it ensures the reliability and safety of aircraft.
Qiankun Hu, Yongping Zhao, Lihua Ren
doaj +1 more source
Aero-Engine Remaining Useful Life Estimation Based on CAE-TCN Neural Networks
With the rapid growth of the aviation fields, the remaining useful life (RUL) estimation of aero-engine has become the focus of the industry. Due to the shortage of existing prediction methods, life prediction is stuck in a bottleneck.
Guanghao Ren +5 more
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Remaining Useful Life Estimation of Bearings
In the domain of predictive maintenance, when trying to repli- cate and compare research in remaining useful life estimation (RUL), several inconsistencies and errors were identified in the experimental methodology used by various researchers. This makes the replication and the comparison of results diffi- cult, thus severely hindering both progress in
Hugo M. Ferreira, Alexandre C. de Sousa
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Estimation of the remaining useful life of hydro generators [PDF]
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
core +1 more source
Online System Prognostics with Ensemble Models and Evolving Clustering
An online evolving clustering (OEC) method equivalent to ensemble modeling is proposed to tackle prognostics problems of learning and the prediction of remaining useful life (RUL).
Fling Tseng +3 more
doaj +1 more source
Remaining Useful Life Estimation of Aircraft Engines Using Differentiable Architecture Search
Prognostics and health management (PHM) applications can prevent engines from potential serious accidents by predicting the remaining useful life (RUL). Recently, data-driven methods have been widely used to solve RUL problems.
Pengli Mao +3 more
doaj +1 more source
Remaining Useful Life Estimation Using a Recurrent Variational Autoencoder
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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Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021).
Jia-Xiang Cheng
core +1 more source
Remaining Useful Life Estimation of Bearings Using Data-Driven Ridge Regression
Predicting the remaining useful life (RUL) of mechanical bearings is a challenging industrial task since RUL can differ even for the same equipment due to many uncertainties such as operating condition, model inaccuracy, and sensory noise in various ...
Pangun Park +2 more
doaj +1 more source

