Soft-sensing and Error Analysis of Air Flow
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.
air flow soft-sensing error analysis data fusion
LI Jian ZHANG Bin-wen
North China Electric Power University, No.2 Beinong Road, Changping District, Beijing, China
国际会议
重庆
英文
20-23
2015-12-18（万方平台首次上网日期，不代表论文的发表时间）