摩擦电效应
方位(导航)
无线电频率
射频功率放大器
振动
信号(编程语言)
断层(地质)
电气工程
工程类
电压
纳米发生器
转速
电子工程
声学
材料科学
机械工程
计算机科学
CMOS芯片
地震学
复合材料
人工智能
地质学
放大器
物理
程序设计语言
作者
Qinkai Han,Ziyuan Jiang,Xueping Xu,Zhuang Ding,Fulei Chu
标识
DOI:10.1016/j.ymssp.2021.108382
摘要
In this study, self-powered fault diagnosis of rolling bearing (SP-FDRB) is conducted based on the triboelectric effect. Flexible interdigital electrodes are glued to the outer ring of a rolling bearing to form a rolling-type free standing mode triboelectric nanogenerator (RF-TENG). The RF-TENG has adequate service life because it is designed to avoid direct contact between the flexible electrode and the rolling element and maintain the structural integrity of the bearing. A prototype of the RF-TENG structure is fabricated and the power generation mechanism of the RF-TENG is analyzed and verified by electrostatic field simulation. The electrical output test of the RF-TENG is conducted. The variations in the output current amplitude and frequency with change in the speed of rotation are analyzed, and the maximum output power of the RF-TENG corresponding to the optimal load is obtained accordingly. The reliability and bearing capacity of the RF-TENG are illustrated through long-term continuous operation and various bearing load tests. Based on the output current signal model, the fault characteristic frequency of the RF-TENG output current is obtained when the outer ring, inner ring, and rolling ball have localized faults. SP-FDRB is performed based on the RF-TENG output current signal by utilizing several machine learning algorithms. The results show that the classification accuracy can exceed 92%, which is equivalent to the accuracy based on the vibration signal. The proposed RF-TENG based SP-FDRB is feasible and has excellent application prospect. • SP-FDRB is conducted based on the triboelectric effect. • A rolling-type free standing mode triboelectric nanogenerator is fabricated. • Variations in output current amplitude and frequency with speed are analyzed. • SP-FDRB is performed based on RF-TENG output current by utilizing ML algorithms. • The RF-TENG based SP-FDRB is feasible and has excellent application prospect.
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