Self-powered triboelectric nano vibration accelerometer based wireless sensor system for railway state health monitoring

Self-powered triboelectric nano vibration accelerometer based wireless sensor system for railway state health monitoring
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基于自供电摩擦纳米振动加速度计的铁路状态健康监测无线传感器系统

DOI:
10.1016/j.nanoen.2017.02.036
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发表时间:
2017-04
期刊:
影响因子:
17.6
通讯作者:
Xuejun Zhao
Xuejun Zhao
中科院分区:
材料科学1区
文献类型:
--
作者:
Xuejun Zhao

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振动无处不在,尤其是在公共铁路运营系统中。振动加速度是监测和评价铁路设备结构健康的关键因素。介绍了一种自供电摩擦电式纳米振动加速度计(TEVA)。建立了Teva的低频弹簧质量振动模型,计算了Teva的振动敏感性能和输出功率。通过铁路振动仿真平台对Teva样机进行了演示和表征。实践证明,Teva能够成功采集低频振动能量,并将其转化为电能,实现自给的振动加速度监测系统。Teva的输出电流和电压对从1.07m/s2到1.25ms2的振动加速度也是线性敏感的。因此,它可以作为一种自能的纳米振动加速器用于故障诊断。此外,所产生的电力用于为锂电池充电(从1.5V到3.1V),锂电池向ZigBee模块供电。实验表明,通过Teva充电的电池可以支持ZigBee模块之间的无线通信,并在其上嵌入了温湿度传感器。列车上的温度和湿度分别为22摄氏度和35%相对湿度。因此,在不久的将来,振动能量可以被采集并储存起来,为无线传感器网络节点提供电源。
Vibration exists everywhere especially in the public railway operation system. The vibration acceleration is the key factor to monitor and evaluate the structure health of the railway equipment. In this paper, a kind of self-powered triboelectric nano vibration accelerometer (TEVA) is presented. A low frequency spring mass vibration model is built to calculate the vibration sensitive performance and the electric output of the TEVA. The prototype of the TEVA is demonstrated and characterized through the railway vibration simulation platform. It has been testified that TEVA can successfully harvest the low frequency vibration energy and convert it to electrical power to achieve the self-powered vibration acceleration monitoring system. The output current and voltage of TEVA are also sensitive to the vibration acceleration from 1.07 m/s2to 1.25 m/s2linearly. Hence it can be used as a self-powered nano vibration accelerator for the fault diagnosis. In addition, the generated electricity is used for charging the lithium battery (from 1.5V to 3.1 V) which supplies power to the ZigBee module. The experiment shows that the charged battery through TEVA can support the wireless communication between ZigBee modules, with temperature and humidity sensors embedded on it. The temperature and humidity on the train are 22 °C and 35%RH respectively. Therefore, the vibration energy can be harvested and stored for the power supply of wireless sensor network nodes in the near future.
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