Acoustic Wireless Power and Data Telemetry for Structural Health Monitoring

Xinyao Tang, M. Sameer, S. Mandal
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引用次数: 5

Abstract

This paper proposes wireless power and data telemetry based on acoustic guided waves that travel on or through structures to enable acoustically-coupled sensor networks for structural health monitoring (SHM) of complex structures such as aircraft. Specifically, we develop adaptive Lamb-wave beamforming techniques using linear piezoelectric transducer arrays to enhance power transfer efficiency and telemetry targeting accuracy. GaN-based power amplifiers (up to 80 Vpp) and tunable low pass filter (LPF) banks (0.1-2.0 MHz) under adaptive control by an FPGA are implemented to drive such arrays. Binary frequency shift keying (BFSK) modulated on the power waveform is also proposed for data transfer in such reverberative and dispersive media. Optimal frequencies are investigated to maximize power transmission and minimize the bit error rate (BER). The proposed telemetry approach is experimentally evaluated on an SHM test bed for a drive level of 20 Vpp and achieves a power transfer of ~ 225.5 µ W at 0.5 m and a BER of 10−4 at 80 bps.
结构健康监测的声学无线电源和数据遥测
本文提出了基于在结构上或穿过结构的声导波的无线供电和数据遥测技术,以实现用于复杂结构(如飞机)结构健康监测(SHM)的声耦合传感器网络。具体而言,我们开发了使用线性压电传感器阵列的自适应兰姆波波束形成技术,以提高功率传输效率和遥测瞄准精度。基于gan的功率放大器(高达80 Vpp)和可调低通滤波器(LPF)组(0.1-2.0 MHz)在FPGA的自适应控制下实现驱动这种阵列。本文还提出了基于功率波形调制的二元频移键控(BFSK)技术,用于混响和色散介质中的数据传输。研究了最大传输功率和最小误码率的最优频率。在20 Vpp驱动电平的SHM试验台上对所提出的遥测方法进行了实验评估,在0.5 m处实现了~ 225.5 μ W的功率传输,在80 bps处实现了10−4的误码率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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