A cantilever-structure triboelectric nanogenerator for energy harvesting and defect detection via long short-term memory network

Chuanfu Xin; Zifeng Xu; Ying Gong; Hengyu Guo; Zhongjie Li; Jiheng Ding; Shaorong Xie

doi:10.1016/j.isci.2022.105673

A cantilever-structure triboelectric nanogenerator for energy harvesting and defect detection via long short-term memory network

iScience. 2022 Nov 24;25(12):105673. doi: 10.1016/j.isci.2022.105673. eCollection 2022 Dec 22.

Authors

Chuanfu Xin¹, Zifeng Xu¹, Ying Gong^{1

2}, Hengyu Guo³, Zhongjie Li^{1

2}, Jiheng Ding¹, Shaorong Xie⁴

Affiliations

¹ School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, P.R. China.
² Engineering Research Center of Unmanned Intelligent Marine Equipment, Shanghai University, Shanghai 200444, P.R. China.
³ Department of Applied Physics, Chongqing University, Chongqing 400044, P.R. China.
⁴ School of Computer Engineering and Science, Shanghai University, Shanghai 200444, P.R. China.

Abstract

The electric signals of cantilever energy harvesting devices with/without a crack were mainly obtained by external sensors, so detecting device damage on a large scale is difficult. To tackle the issue, a cantilever-structure freestanding triboelectric nanogenerator (CSF-TENG) device was proposed, which can scavenge ambient energy and act as a self-powered sensor. Firstly, the relation between the peak-to-peak voltage and amplitude of the CSF-TENG was established. Next, the output performance of the CSF-TENG was measured. Then, depending on electric signals output by the CSF-TENG, a cantilever defect identification model was built by using the wavelet packet and long short-term memory (LSTM) algorithms. The experimental results manifest that the accuracy of the model is about 98.6%. Thus, the CSF-TENG with a crack can be detected timely due to its self-monitoring ability, which is of great significance for the development of self-powered sensor networks.

Keywords: Energy materials; Materials chemistry; Materials science.