Notice of RetractionStudy of mine dust density sensor output characteristic----based on normal linear regression method of Excel

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

By normal linear regression method of Excel, this article¹ 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.