灵敏度(控制系统)
反射计
断层(地质)
窗口函数
失真(音乐)
电子工程
电阻抗
工程类
故障检测与隔离
噪音(视频)
频域
切比雪夫滤波器
宽带
时域
计算机科学
电气工程
电信
滤波器(信号处理)
放大器
CMOS芯片
人工智能
地震学
执行机构
图像(数学)
计算机视觉
地质学
作者
Haibao Mu,Haotian Zhang,Xngyu Zou,Daning Zhang,Xu Lu,Guanjun Zhang
出处
期刊:IEEE Transactions on Power Delivery
[Institute of Electrical and Electronics Engineers]
日期:2022-10-01
卷期号:37 (5): 3846-3854
被引量:9
标识
DOI:10.1109/tpwrd.2021.3139426
摘要
Cable fault location is generally much more difficult if cable defect has not reached the level of serious breakdown. Traditional methods such as time domain reflectometry (TDR) and partial discharge detection cannot solve this problem well due to their low sensitivity. This paper proposes a new non-destructive detection method based on the impedance spectroscopy (IS), which can effectively locate soft faults in the cable. In this paper, a numerical model for cable with distributed parameters is established firstly. Based on this model, cable faults are extracted from the imaginary part of impedance spectrum with Discrete Fourier Transform (DFT). The Chebyshev window is introduced to suppress interference and enhance signal-to-noise ratio, which improves the sensitivity and accuracy of fault location significantly. Experiments and simulations show that this method can well locate multi-segment defects in cables with good accuracy. The window function successfully amplifies the normalized amplitude of faults and improves the positioning accuracy. Compared with other method, this method reduces distortion points effectively. The fault location error is within 0.53%, which has great potential for field application.
科研通智能强力驱动
Strongly Powered by AbleSci AI