A Hybrid Method for Prediction of Ash Fouling on Heat Transfer Surfaces

Soot blowing optimization is a key, but challenging question in the health management of coal-fired power plant boiler. The monitoring and prediction of ash fouling for heat transfer surfaces is an important way to solve this problem. This study provides a hybrid data-driven model based on advanced...

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Bibliographic Details
Main Authors:	Cui, F. (Author), Li, M. (Author), Qin, S. (Author), Shi, Y. (Author), Zhang, J. (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	ash fouling prediction Ash fouling prediction cleanliness factor Cleanliness factor Coal Coal fired boilers Coal fired power plant Coal fueled furnaces Coal-fired power plant coal-fired power plant boiler Coal-fired power plant boiler Distributed parameter control systems Forecasting Fossil fuel power plants Fouling Fouling prediction Gaussian process regression model Heat transfer Heat transfer surfaces Learning algorithms Machine learning Machine learning techniques machine-learning technique Power plant boiler Signal processing Support vector regressions
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View Fulltext in Publisher

A Hybrid Method for Prediction of Ash Fouling on Heat Transfer Surfaces

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