A New Model of Predicting the Hydrogen Element in Coal-Fired

Abstract:

A new model was built to predict hydrogen element in coal-fired based on partial least squares regression algorithm, in which there were 4 input vectors, which were the moisture, ash content, volatile matter and low calorific value, and one output vectors, which was the hydrogen element. By comparison of the predicted and experimental results of test samples, the maximal relative error of the model was less than 10.0%, so, the partial least-squares regression algorithm model is reasonable and feasible. It provides an effective method for the operation personnel to anticipate the hydrogen element under conditions of known coal industrial analysis component.

• Periodical: Applied Mechanics and Materials (Volume 302)
• Pages: 275-279
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.302.275
• Online since: February 2013
• Authors: Xiao Qiang Wen, Zhi Ming Xu
• Keywords: Coal-Fired, Hydrogen Element, Partial Least-Squares Algorithm, Predicting

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