A parameter measurement method for DBD-type ozone generators based on data fitting

Due to its strong sterilization and oxidation properties, ozone is widely utilized. Dielectric barrier discharge (DBD) technology is the main method for industrial ozone synthesis. Accurate parameters of DBD-type ozone generators are essential for optimizing the design and improving the stability of DBD-type ozone generators. Generally, the parameters of DBD-type ozone generators are obtained using the Lissajous figure method. After obtaining the Lissajous figures of DBD-type ozone generators, the Lissajous figures are manually fitted into a parallelogram to calculate the equivalent parameters. This method has many disadvantages. For example, the measurement capacitor must be connected to the high-voltage circuit, the results are affected by human factors, and the processing efficiency is low. To address these issues, a method based on data fitting is proposed for obtaining the equivalent parameters of DBD-type ozone generators. A virtual voltage of the measurement capacitor is generated with the current data of DBD-type ozone generators. In order to reduce the influence of data noise, the LOWESS (Locally Weighted Scatterplot Smoothing) algorithm is used to fit the voltage of the virtual measurement capacitor and the voltage of the DBD-type ozone generator. A Lissajous figure is formed with the two voltages and the parameters of DBD-type ozone generators are calculated by the Lissajous figure. Experimental results show that the equivalent parameters of a DBD-type ozone generator are consistent with those from the traditional Lissajous figure method. Besides this, the measurement capacitor connected to the high-voltage circuit is removed in the proposed parameter measurement method.