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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
core +1 more source
A remaining useful life prediction method based on PSR-former
Scientific Reports, 2022 The non-linear and non-stationary vibration data generated by rotating machines can be used to analyze various fault conditions for predicting the remaining useful life(RUL).
Huang Zhang +6 more
doaj +1 more source
A Novel Deep Learning Approach for Machinery Prognostics Based on Time Windows
Applied Sciences, 2019 Remaining useful life (RUL) prediction is a challenging research task in prognostics and receives extensive attention from academia to industry. This paper proposes a novel deep convolutional neural network (CNN) for RUL prediction.
Hanbo Yang +4 more
doaj +1 more source
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
doaj +1 more source
Remaining useful life prediction for equipment based on RF-BiLSTM
AIP Advances, 2022 The prediction technology of remaining useful life has received a lot attention to ensure the reliability and stability of complex mechanical equipment. Due to the large-scale, non-linear, and high-dimensional characteristics of monitoring data, machine ...
Zhiqiang Wu +8 more
doaj +1 more source
A Data-Driven-Based Framework for Battery Remaining Useful Life Prediction
IEEE Access, 2023 Electric vehicles are expected to dominate the vehicle fleet in the near future due to their zero emissions of pollutants, reduced fossil fuel reserves, comfort, and lightness.
Amal Ezzouhri +3 more
doaj +1 more source
Remaining Useful Life Prediction Based on Multi-Representation Domain Adaptation
Mathematics, 2022 All current deep learning-based prediction methods for remaining useful life (RUL) assume that training and testing data have similar distributions, but the existence of various operating conditions, failure modes, and noise lead to insufficient data ...
Yi Lyu +3 more
doaj +1 more source
EnergiesThe 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 +9 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 +3 more
doaj +1 more source
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 +3 more
doaj +1 more source