电缆的健康状况对用电设备及整个系统的安全稳定运行具有重要意义。电缆故障检测已引起电气工程领域研究者的广泛兴趣。时频域反射法(time frequency domain reflectometry,TFDR)是一种典型的电缆故障无损检测方法。文中针对TFDR中存在...电缆的健康状况对用电设备及整个系统的安全稳定运行具有重要意义。电缆故障检测已引起电气工程领域研究者的广泛兴趣。时频域反射法(time frequency domain reflectometry,TFDR)是一种典型的电缆故障无损检测方法。文中针对TFDR中存在的问题,提出增广时频域反射法(augmented time frequency domain reflectometry,ATFDR)。首先利用平滑伪维格纳维拉分布分析反射信号时频分布以消除由交叉项造成的干扰。然后基于时频交叉相关得到故障点位置信息,并采用专家知识与异质布谷鸟搜索算法实现多重反射信号的估计与消除。最后通过分析故障点处信号与入射信号的时间相关性,以低成本方式评估故障点的故障类型与故障程度。文中基于包含不同故障类型与故障程度的实验,验证ATFDR的有效性。并通过对比实验进一步证明ATFDR相比于扩展频谱时域反射法具有更好的检测性能。展开更多
An analysis of underground power cables is performed using Fourier analysis with the objective of detecting fault and average life of the cables.Three types of cables are used in this experiment:a normal cable,a short...An analysis of underground power cables is performed using Fourier analysis with the objective of detecting fault and average life of the cables.Three types of cables are used in this experiment:a normal cable,a shorted cable, and a cable with holes.The impedance in each case is computed and Fourier transformation is applied so that the resulting impedance magnitude and impedance phase can be examined in the frequency domain.Various windowing techniques are applied to the experimental data to eliminate any interference.Fourier analysis is then applied to the impedance data calculated from both the sending end voltage and differential voltage.This analysis reveals differences in the frequency response of the three different types of a cable and can eventually be used as a measure for fault detection. Preliminary results reveal the differences in the frequency response.Accordingly,Fourier type methods can be effectively used as low cost and viable solutions to identify and detect faults in underground cables.展开更多
文摘电缆的健康状况对用电设备及整个系统的安全稳定运行具有重要意义。电缆故障检测已引起电气工程领域研究者的广泛兴趣。时频域反射法(time frequency domain reflectometry,TFDR)是一种典型的电缆故障无损检测方法。文中针对TFDR中存在的问题,提出增广时频域反射法(augmented time frequency domain reflectometry,ATFDR)。首先利用平滑伪维格纳维拉分布分析反射信号时频分布以消除由交叉项造成的干扰。然后基于时频交叉相关得到故障点位置信息,并采用专家知识与异质布谷鸟搜索算法实现多重反射信号的估计与消除。最后通过分析故障点处信号与入射信号的时间相关性,以低成本方式评估故障点的故障类型与故障程度。文中基于包含不同故障类型与故障程度的实验,验证ATFDR的有效性。并通过对比实验进一步证明ATFDR相比于扩展频谱时域反射法具有更好的检测性能。
文摘An analysis of underground power cables is performed using Fourier analysis with the objective of detecting fault and average life of the cables.Three types of cables are used in this experiment:a normal cable,a shorted cable, and a cable with holes.The impedance in each case is computed and Fourier transformation is applied so that the resulting impedance magnitude and impedance phase can be examined in the frequency domain.Various windowing techniques are applied to the experimental data to eliminate any interference.Fourier analysis is then applied to the impedance data calculated from both the sending end voltage and differential voltage.This analysis reveals differences in the frequency response of the three different types of a cable and can eventually be used as a measure for fault detection. Preliminary results reveal the differences in the frequency response.Accordingly,Fourier type methods can be effectively used as low cost and viable solutions to identify and detect faults in underground cables.
