Huang Xili, Zhang Cheng, Pang Hongchen, Zhao Zhiqiang, Zhang Qianxi, Li Xiaoning, Wang Xianzhang, Lin Fang, Li Bo, Pan Xinxiang
School of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang 524088, China.
School of Mechanical and Power Engineering, Guangdong Ocean University, Zhanjiang 524088, China.
Nanomaterials (Basel). 2022 Aug 14;12(16):2790. doi: 10.3390/nano12162790.
Vibration measurement and analysis play an important role in diagnosing mechanical faults, but existing vibration sensors are limited by issues such as dependence on external power sources and high costs. To overcome these challenges, the use of triboelectric nanogenerator (TENG)-based vibration sensors has recently attracted attention. These vibration sensors measure a small range of vibration frequencies and are not suitable for measuring high-frequency vibrations. Herein, a self-powered vibration sensor based on an elastic steel triboelectric nanogenerator (ES-TENG) is proposed. By optimizing the elastic steel sheet structure and combining time-frequency transformation and filtering processing methods, the measurement of medium- and high-frequency vibrations is achieved. These results demonstrate that the ES-TENG can perform vibration measurements in the range of 2-10,000 Hz, with a small average error (~0.42%) between the measured frequency and external vibration frequency values. Therefore, the ES-TENG can be used as a self-powered, highly-accurate vibration sensor for intelligent machinery monitoring.
振动测量与分析在机械故障诊断中起着重要作用，但现有的振动传感器受到诸如依赖外部电源和成本高等问题的限制。为了克服这些挑战，基于摩擦电纳米发电机（TENG）的振动传感器的使用近来受到了关注。这些振动传感器测量的振动频率范围较小，不适用于测量高频振动。在此，提出了一种基于弹性钢摩擦电纳米发电机（ES-TENG）的自供电振动传感器。通过优化弹性钢板结构并结合时频变换和滤波处理方法，实现了对中高频振动的测量。这些结果表明，ES-TENG能够在2至10,000Hz的范围内进行振动测量，测量频率与外部振动频率值之间的平均误差较小（约0.42%）。因此，ES-TENG可用作智能机械监测的自供电、高精度振动传感器。
