Study of Mine Dust Density Sensor Output Characteristic -Based on Normal Linear Regression Method of Excel
By normal linear regression method of Excel, this article carries out normal distribution curve fitting with data collection of mine dust density sensor. The experimented data were regressively analyzed. Probe into the correlation and the degree of correlation between the calibration sensor and the two standard sensors. Derive regression equation and look forward to regarding as predictor formula, bring about the demarcating of sensor, study its output characteristic. The practice proved the way that using normal linear regression method of Excel in the study of mine dust density sensor output characteristic is easy to realize and has the accurate precision. This method has the good practicability.
curve fitting normal distribution of excel linear regression analysis on-line proving
Cheng Xuezhen Yang Fen Cao Maoyong
College of Information and Electrical Engineering Shandong University of Science and Technology Qingdao ,China
国际会议
太原
英文
144-148
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）