Wavelet transform-based fault diagnosis and line selection method of small current grounding system

Ni Yang; Shuqing Zhang; Liguo Zhang; Kexin Zhang; Lingyun Sun

doi:10.1117/12.819736

31 December 2008 Wavelet transform-based fault diagnosis and line selection method of small current grounding system

Ni Yang, Shuqing Zhang, Liguo Zhang, Kexin Zhang, Lingyun Sun

Proceedings Volume 7130, Fourth International Symposium on Precision Mechanical Measurements; 71304W (2008) https://doi.org/10.1117/12.819736
Event: Fourth International Symposium on Precision Mechanical Measurements, 2008, Anhui, China

Abstract

Small current grounding system is the system that the neutral point doesn't ground or grounds across the arc suppressing coils, which has been applied commonly in distribution system of many countries. As the grounding fault occurs, current is the one caused by capacity of circuit to ground only and it is rather small. The status of fault is complexity, e.g., the electromagnet interferes together with the amplified impact of zero-order loops to high-order singularity waves and various temporary variables. All these result in the lower ratio of the fault element signal to noise caused by zero-order current. In this paper, the position of signal singularity and the magnitude of the singularity degree are analyzed based on the variable focus character of wavelet, and the time fault occurs is then determined. The series db wavelet with close sustain is adopted, and the line selection is according to the zero-order voltage of the generatrix and the current of various outlet line. It is proved by the experiment that the fault circuit diagnosis method based on wavelet analysis to the character of temporary status of single-phase grounding fault plays an important role to a finer line selection.

Citation Download Citation

Ni Yang, Shuqing Zhang, Liguo Zhang, Kexin Zhang, and Lingyun Sun "Wavelet transform-based fault diagnosis and line selection method of small current grounding system", Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 71304W (31 December 2008); https://doi.org/10.1117/12.819736

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KEYWORDS

Wavelets

Signal detection

Wavelet transforms

Capacitance

Signal analyzers

Fourier transforms

Interference (communication)

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