Affiliation:
1. North University of Science and Technology
Abstract
This study aims to explore the influence of various factors of the electrostatic induction system on the object information of double-electrode electrostatic detection. Based on the principle of electrostatic induction, we first establish a system model and a mathematical model for single-electrode electrostatic detection. We analyze the effect of various factors on the target information of single-electrode electrostatic detection. On this basis, a novel double-electrode electrostatic detection model is introduced, and detection rational is explained in detail. A comparative study using theory and computer simulation is conducted. The results show that the novel double-electrode electrostatic detection system performs significantly better than its single-electrode counterpart. We also observe that the vertical detection distance has a greater impact on the detection performance compared to the interval between the two electrodes. Moreover, we find that the vertical detection distance and the interval between the two electrodes have a much more substantial influence on the electrostatic detection performance than other intrinsic factors.
Publisher
The Russian Academy of Sciences