A Multi-Scale Modeling Method Based on Big Data

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Abstract:

A multi-scale modeling method based on big data was proposed to establish neural network models for complex plant. Wavelet transform was used to decompose input and output parameters into different scales. The relationship between these parameters were researched in every scale. Then models in each scale were established and added together to form a multi-scale model. A model of coal mill current in power plant was established using the multi-scale modeling method based on big data. The result shows that, the method is effective.

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447-450

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February 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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