Title :
Central Distance Theorem and Cable Fault Location
Author :
Wang, Mei ; Hou, Yuan-bin
Author_Institution :
Sch. of Electr. & Control Eng., Xian Univ. of Sci. & Technol.
Abstract :
The precision of cable fault location of traveling wave method is subjected to the uncertainty of the traveling wave speed. To solve this problem, the central distance theorem is presented after three new concepts of scaling time, scaling speed and central distance are defined based on wavelet analysis and multiresolution analysis. The relationship between the central distance, the scaling speed, sampling frequency and the number of the first modulus maximum of wavelet reconstructing signals is described by the central distance theorem. The scaling times of a component of traveling wave can be found in the method of the central distance theorem. This eliminates the disturbances of the other frequency components in sampling signals. Finally, simulation example shows that the mean relative error is 0.1% in cable fault location based on the central distance theorem. They are remarkably less than that of the common used methods
Keywords :
fault location; power cables; signal resolution; signal sampling; wavelet transforms; cable fault location; central distance theorem; multiresolution analysis; sampling frequency; sampling signal; scaling speed; scaling time; traveling wave method; wavelet analysis; wavelet signal reconstruction; Control engineering; Discrete wavelet transforms; Fault location; Frequency; Impedance; Machine learning; Multiresolution analysis; Power cables; Sampling methods; Uncertainty; Wavelet analysis; Cable; fault location; multiresolution analysis; wavelet analysis;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.259070