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Fault prediction is the key technology for ensuring safe operation and scientific maintenance of large equipment. As the running of flue gas turbine has nonlinear characteristics, echo state network (ESN) was introduced to predict the condition trend of the turbine. Singular value decomposition was used to improve the linear regression algorithm of ESN, and the prediction workflow was given. Condition...
As for the difficult problem of sensitive feature extraction during fault prediction for nonlinear electromechanical equipment, nonlinear dimensionality reduction ISOMAP (isometric feature mapping) algorithm is introduced based on the comprehensive analysis of the operation state data to reduce the dimensionality of high dimensional operation data and acquire sensitive fault features, furthermore,...
In the light of the characteristics of Elman neural network model which can be approximate to the arbitrary non-linear function and its ability to reflect the dynamic characteristics of the system, this paper provides a state prediction model of flue gas turbine by applying Elman neural network and makes prediction of the overall vibration value. Compared to traditional static BP network prediction...
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