Results 21 to 30 of about 2,036,846 (308)
Data-driven remaining useful life prediction based on domain adaptation [PDF]
PeerJ Computer Science, 2021 As an important part of prognostics and health management, remaining useful life (RUL) prediction can provide users and managers with system life information and improve the reliability of maintenance systems.
Bin cheng Wen +5 more
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Interaction models for remaining useful life estimation
CoRR, 2023 submitted to Journal of Industrial Information ...
Dmitry Zhevnenko +2 more
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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
doaj +1 more source
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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Predicting the remaining useful life of rolling element bearings [PDF]
2018 IEEE International Conference on Industrial Technology (ICIT), 2018 Condition monitoring of rolling element bearings is of vital importance in order to keep the industrial wheels running. In wind industry this is especially important due to the challenges in practical maintenance. The paper presents an attempt to improve the capability of prediction of remaining useful life of rolling bearings. The approach is based on
Hooghoudt, Jan Otto +4 more
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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
doaj +1 more source
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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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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Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks [PDF]
, 2017 We consider the problem of estimating the remaining useful life (RUL) of a system or a machine from sensor data. Many approaches for RUL estimation based on sensor data make assumptions about how machines degrade.
Agarwal, Puneet +5 more
core +3 more sources
RUL-RVE: Interpretable assessment of Remaining Useful Life
Software Impacts, 2022 This work has been partially supported by the Ministry of Economy, Industry and Competitiveness (“Ministerio de Economía, Industria Competitividad”) from Spain /FEDER under grant PID2020-112726-RB-I00 and by Principado de Asturias, grant SV-PA-21-AYUD/2021/50994.
Nahuel Costa, Luciano Sánchez
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