Soft-sensing and Error Analysis of Air Flow
Author(s): LI Jian, ZHANG Bin-wen
Pages: 60-62
Year: 2015 Issue: 6
Journal: Power System Engineering
Keyword: air flow; soft-sensing; error analysis; data fusion;
Abstract: To measure air flow in the power plant, regression models are set up with variables according to mechanical analysis and data mining technique, and the results are verified by goodness of fit, F-test and deviance. It is proved that the results using multi-sensor data fusion is more reliable and accurate than the single ones or the arithmetic average value, and based on that, a principle is presented to ensure the data with smaller error is selected. The soft-sensing model of air flow is established by the experiment in a power plant.
Pages: 60-62
Year: 2015 Issue: 6
Journal: Power System Engineering
Keyword: air flow; soft-sensing; error analysis; data fusion;
Abstract: To measure air flow in the power plant, regression models are set up with variables according to mechanical analysis and data mining technique, and the results are verified by goodness of fit, F-test and deviance. It is proved that the results using multi-sensor data fusion is more reliable and accurate than the single ones or the arithmetic average value, and based on that, a principle is presented to ensure the data with smaller error is selected. The soft-sensing model of air flow is established by the experiment in a power plant.
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