Rotational Triboelectric Nanogenerator with Machine Learning for Monitoring Speed.

ABSTRACT: The triboelectric nanogenerator (TENG) is an efficient mechanical energy harvesting device that exhibits excellent performance in the fields of micro-nano energy harvesting and self-powered sensing. In practical application scenarios, it is very important to monitor the speed of rotational machinery in real time. In order to monitor a wider range of rotational speeds, the TENG based on a machine learning algorithm is designed in this paper. The peak power of the TENG reaches a maximum of 6.6 mW and can instantly light up 65 LEDs connected in series. The results show that machine learning can detect speed, greatly improving the speed detection range. The neural network is trained and tested based on the collected electrical signals at different speeds so as to monitor the health of the mach

SUBMITTER: Zhang C 

PROVIDER: S-EPMC12031442 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature