Research on multiple calibration methods for measuring error of indicator value of withstand voltage tester

Abstract

Voltage resistance testing often needs to be carried out under specific environmental conditions, such as high pressure and high temperature. These complex environments may interfere with the test equipment and calibration process, thus affecting the accuracy of calibration results. Therefore, it is necessary to ensure that the tester can adapt to various environmental conditions and make calibration adjustments accordingly. Therefore, a multi-calibration method based on the BP neural network is proposed to calibrate the error of the indicator value of the voltage tester. The power input and output characteristic function of the withstand voltage tester is established, and the output of each layer is described as the input of the BP neural network. Based on the adjustment results, multiple calibration steps for the measuring error of the voltage tester are designed. The experimental results show that the method can calibrate the measuring error of the voltage tester at different positions at the same time, and the application effect is good.