Self-Powered Rotary Speed Sensor for Bearing Monitoring Based on Triboelectric Nanogenerator

Triboelectric sensors with grating structure have been proved to monitor bearing speed, but most of these sensors have low level of integration and cannot be applied to real working conditions. In this paper, the finite element simulation model of electrostatic induction is established, the influence of grating number and gap ratio on the electrical performance of the sensor is investigated. On this basis, a triboelectric speed sensor made of copper and PI film is designed. The results show that the higher the grating number, the lower the open circuit voltage at the same gap ratio; when the gap ratio increases, the open circuit voltage decreases first and then increases. In addition, the grating structure triboelectric sensor, signal processing circuit and wireless module are integrated to form a highly integrated wireless telemetry system for bearing speed monitoring. On the premise of not changing the bearing structure, the speed of the bearing system is monitored in-situ wirelessly. The triboelectric speed sensor reported in this paper provides a new idea for online monitoring and integration of intelligent bearings.