Statistical analysis of a wireless control system: Determining relationship between heater and different temperature points

This work has been carried out for statistical analysis of a process simulator that was used for the wireless control. Wireless input/output data obtained from the Cussons P3005 type process control simulator which three different temperature points (T2, T3, T4) were selected as the independent variables while the heater capacity was chosen as the dependent variable. Wireless temperature experiments were achieved by using MATLAB/Simulink program and wireless data transfer during the experiments were carried out with radio waves at a frequency of 2.4 GHz. Statistical analysis of this wireless control system was done using MS Excel, Minitab and SPSS Statistics softwares. Linear Regression (LR) analysis was applied which comprised analysis of variance (ANOVA), t test for means comparison at 5% significance level. ANOVA estimates were carried out for identifying the significant factors that control system. df, MS, SS and F values obtained 3, 427313, 1281938 and 2441 with these softwares, respectively. R square and adjusted R square values of this step change determined 0.83 and standard error value determined 13, 23 with these three softwares. Calculated t values for T2, T3 and T4 points are 31.47, -18.70 and 16.52, respectively. Also, p value for this test is determined 0.00. Regression equation coefficients are same values which determined with regression analysis of these software's. Based on the obtained results, coefficients of T2 and T4 points are positive while coefficient of T3 point is negative.