时频分析在真空热试验测试电缆故障检测中的应用

Application of time-frequency analysis in fault location of vacuum thermal test cable

真空热环境试验是航天器研制过程中必不可缺的实验项目,实验过程中需配置大量测试电缆,因此测试电缆的故障检测具有重要意义。为有效提高对测试电缆故障的定位精度,对小波变换和分数阶傅里叶变换在电缆故障测试中的应用去进行研究。对时域反射测量法和频域反射测量法两种电缆故障检测方法的发射信号进行加噪处理,分别采用相应的时频分析方法对其进行消噪处理。仿真结表明,小波变换和分数阶傅里叶变换具有良好的去噪效果,对提高测试电缆的故障定位精度具有重要意义。

Vacuum thermal environment test is an indispensable experimental project in the development of spacecraft.A large number of test cables need to be configured during the experiment,so the fault detection of test cables is of great significance.In order to effectively improve the positioning accuracy of test cable faults,this paper studies the application of wavelet transform and fractional Fourier transform in cable fault test.The transmit signals of the TDR and FDR cable fault detection methods are subjected to noise addition processing,and the corresponding time-frequency analysis methods are respectively used for denoising.The simulation results show that the wavelet transform and the fractional Fourier transform have good denoising effect,which is of great significance to improve the fault location accuracy of the test cable.