To solve the problem of main steam temperature abnormal of the 300 MW subcritical coalfired boiler, the main steam temperature model was built based on running data. Firstly, the correlation analysis of the data was carried out based on the SPSS software to determine the main influence factors of the main steam temperature. Then, a nonlinear modeling method based on PLS was proposed, which is used to determine the number of the extracted components. At last, the simulation of the partial least

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... quares regression model of the main steam temperature was realized by using MATLAB software. The partial least squares regression equation of the standard variable and the original variable was constructed by using the training samples and the accuracy and correctness of the model were tested by using the test samples.