Results 21 to 30 of about 9,948,079 (293)
, 2021 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
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jiaxiang-cheng/cnn-pytorch-remaining-useful-life-prediction: RUL Prediction with CNN
, 2021 Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep convolutional neural network-based regression approach for estimation of remaining useful life. In International conference on database systems for advanced applications (pp.
Jia-Xiang Cheng
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Adaptive Prognosis of Heat Exchanger Remaining Useful Life
Svet strojništva, 2023 Povzetek v angl.
Berce, Jure +4 more
openaire +2 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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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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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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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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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 +3 more sources
Prediction of Tool Remaining Useful Life Based on NHPP-WPHM
Mathematics, 2023 A tool remaining useful life prediction method based on a non-homogeneous Poisson process and Weibull proportional hazard model (WPHM) is proposed, taking into account the grinding repair of machine tools during operation.
Yingzhi Zhang +4 more
doaj +1 more source