Remaining Useful Life Prediction of Nuclear Power Machinery Based on an Exponential Degradation Model

Aiming at solving the problems of small fault data samples and insufficient remaining useful life (RUL) prediction accuracy of nuclear power machinery, a method based on an exponential degradation model is proposed to predict the RUL of equipment after the failure warning system alarm. After data pr...

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Bibliographic Details
Published inScience and Technology of Nuclear Installations Vol. 2022; pp. 1 - 9
Main Authors Liu, Gaojun, Fan, Weijie, Li, Fenglei, Wang, Gaixia, You, Dongdong
Format Journal Article
LanguageEnglish
Published New York Hindawi 16.06.2022
Hindawi Limited
Wiley
Subjects
Accuracy
Carbon steel
Crack propagation
Degradation
Experiments
Feature extraction
Forecasts and trends
Life prediction
Maintenance and repair
Mathematical models
Methods
Monte Carlo simulation
Nuclear energy
Nuclear facilities
Nuclear power plants
Parameter estimation
Steel pipes
Trends
Turbines
Useful life
Warning systems
China
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Summary:Aiming at solving the problems of small fault data samples and insufficient remaining useful life (RUL) prediction accuracy of nuclear power machinery, a method based on an exponential degradation model is proposed to predict the RUL of equipment after the failure warning system alarm. After data preprocessing, time-domain feature extraction, selection, and dimensionality reduction fusion of multiple degradation variables, the exponential degradation model is constructed based on the Bayesian process, and prior information is used. As an application, the RUL of a nuclear power turbine was calculated based on actual monitoring data, the α−λ precision curve was used to evaluate the prediction effect, and the RUL prediction results verified the effectiveness of the proposed method.
ISSN:1687-6075
1687-6083
DOI:10.1155/2022/9895907