目前配电变压器的状态监测迫切需要一种无线无源的传感监测方式, 而声表面波(SAW)传感器是满足此需求的重要技术手段之一。该文以用于变压器出线端测温的SAW传感器为研究对象, 提出了一种SAW传感器回波信号处理流程, 设计了信号去噪、频谱分析等信号处理环节。为解决同频信号对传感器测量带来的干扰问题, 研究了基于奇异谱分析和独立分量分析的单通道盲源分离算法对SAW传感器的抗干扰作用, 利用搭建的信号采集平台验证了该算法在信号分离和干扰抑制上的有效性。

At present, the condition monitoring of distribution transformer urgently needs a wireless passive sensing monitoring method, and surface acoustic wave (SAW) sensor is an important technical means to meet this demand. Taking the SAW sensor used for temperature measurement at the outlet of transformer as the research object, this paper proposes an echo signal processing procedure of SAW sensor, and designs other signal processing procedures such as the signal de-noising, spectrum analysis etc.. In order to solve the interference problem caused by the same frequency signal to the sensor measurement, the anti-interference effect of the single channel blind source separation algorithm based on singular spectrum analysis and independent component analysis on the SAW sensor is studied. The effectiveness of the proposed algorithm in signal separation and interference suppression is verified by the built signal acquisition platform.