Wavelet based noise cancellation technique for fault location on underground power cables

C. K. Jung; J. B. Lee; X. H. Wang; Yonghua Song

doi:10.1016/j.epsr.2006.10.005

Wavelet based noise cancellation technique for fault location on underground power cables

C. K. Jung^*, J. B. Lee, X. H. Wang, Yonghua Song

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

35 Citations (Scopus)

Abstract

This paper describes a new algorithm to identify the reflective waves for fault location in noisy environment. The new algorithm is based on the correlation of detail components at adjacent levels of stationary wavelet transform of current signal from one end of the cable. The algorithm is simple and straightforward. Simulation results based on a real power transmission system proved it can detect and locate the fault in very difficult situations.

Original language	English
Pages (from-to)	1349-1362
Number of pages	14
Journal	Electric Power Systems Research
Volume	77
Issue number	10
DOIs	https://doi.org/10.1016/j.epsr.2006.10.005
Publication status	Published - Aug 2007
Externally published	Yes

Keywords

Fault classification
Fault location
Stationary wavelet transform
Underground power cable system

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10.1016/j.epsr.2006.10.005

Cite this

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title = "Wavelet based noise cancellation technique for fault location on underground power cables",

abstract = "This paper describes a new algorithm to identify the reflective waves for fault location in noisy environment. The new algorithm is based on the correlation of detail components at adjacent levels of stationary wavelet transform of current signal from one end of the cable. The algorithm is simple and straightforward. Simulation results based on a real power transmission system proved it can detect and locate the fault in very difficult situations.",

keywords = "Fault classification, Fault location, Stationary wavelet transform, Underground power cable system",

author = "Jung, {C. K.} and Lee, {J. B.} and Wang, {X. H.} and Yonghua Song",

note = "Funding Information: This work has been supported by KESRI (R-2003-B-274), which is funded by Ministry of Commerce, Industry and Energy (MOCIE).",

year = "2007",

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journal = "Electric Power Systems Research",

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AU - Jung, C. K.

AU - Lee, J. B.

AU - Wang, X. H.

AU - Song, Yonghua

N1 - Funding Information: This work has been supported by KESRI (R-2003-B-274), which is funded by Ministry of Commerce, Industry and Energy (MOCIE).

PY - 2007/8

Y1 - 2007/8

N2 - This paper describes a new algorithm to identify the reflective waves for fault location in noisy environment. The new algorithm is based on the correlation of detail components at adjacent levels of stationary wavelet transform of current signal from one end of the cable. The algorithm is simple and straightforward. Simulation results based on a real power transmission system proved it can detect and locate the fault in very difficult situations.

AB - This paper describes a new algorithm to identify the reflective waves for fault location in noisy environment. The new algorithm is based on the correlation of detail components at adjacent levels of stationary wavelet transform of current signal from one end of the cable. The algorithm is simple and straightforward. Simulation results based on a real power transmission system proved it can detect and locate the fault in very difficult situations.

KW - Fault classification

KW - Fault location

KW - Stationary wavelet transform

KW - Underground power cable system

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U2 - 10.1016/j.epsr.2006.10.005

DO - 10.1016/j.epsr.2006.10.005

M3 - Article

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SP - 1349

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JO - Electric Power Systems Research

JF - Electric Power Systems Research

IS - 10

ER -

Wavelet based noise cancellation technique for fault location on underground power cables

Abstract

Keywords

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