Sheath fault detection and classification based on wavelet analysis

X. H. Wang; Yonghua Song

doi:10.1002/etep.89

Sheath fault detection and classification based on wavelet analysis

X. H. Wang, Yonghua Song^*

^*Corresponding author for this work

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

9 Citations (Scopus)

Abstract

This paper presents a wavelet based algorithm to detect and classify sheath insulation faults on underground transmission cables. This algorithm can detect a high impedance sheath to earth fault, classify it, and discriminate it from other phenomena, such as load change, harmonics and surges on the cores. For the development of the algorithm, a simplified fault model is introduced to simulate a sheath to earth fault on a power transmission cable. Before applying wavelet analysis, an 'adaptive noise cancelling' (ANC) technique is used to extract the fault signal. Simulation studies are reported on a 300mm² concentric copper PVC insulated bonding lead.

Original language	English
Pages (from-to)	327-344
Number of pages	18
Journal	European Transactions on Electrical Power
Volume	16
Issue number	4
DOIs	https://doi.org/10.1002/etep.89
Publication status	Published - Jul 2006
Externally published	Yes

Keywords

Adaptive noise canceling
Fault detection and classification
Fault modeling
Sheath fault
Wavelet analysis

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10.1002/etep.89

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title = "Sheath fault detection and classification based on wavelet analysis",

abstract = "This paper presents a wavelet based algorithm to detect and classify sheath insulation faults on underground transmission cables. This algorithm can detect a high impedance sheath to earth fault, classify it, and discriminate it from other phenomena, such as load change, harmonics and surges on the cores. For the development of the algorithm, a simplified fault model is introduced to simulate a sheath to earth fault on a power transmission cable. Before applying wavelet analysis, an 'adaptive noise cancelling' (ANC) technique is used to extract the fault signal. Simulation studies are reported on a 300mm2 concentric copper PVC insulated bonding lead.",

keywords = "Adaptive noise canceling, Fault detection and classification, Fault modeling, Sheath fault, Wavelet analysis",

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AU - Song, Yonghua

PY - 2006/7

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AB - This paper presents a wavelet based algorithm to detect and classify sheath insulation faults on underground transmission cables. This algorithm can detect a high impedance sheath to earth fault, classify it, and discriminate it from other phenomena, such as load change, harmonics and surges on the cores. For the development of the algorithm, a simplified fault model is introduced to simulate a sheath to earth fault on a power transmission cable. Before applying wavelet analysis, an 'adaptive noise cancelling' (ANC) technique is used to extract the fault signal. Simulation studies are reported on a 300mm2 concentric copper PVC insulated bonding lead.

KW - Adaptive noise canceling

KW - Fault detection and classification

KW - Fault modeling

KW - Sheath fault

KW - Wavelet analysis

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JO - European Transactions on Electrical Power

JF - European Transactions on Electrical Power

IS - 4

ER -

Sheath fault detection and classification based on wavelet analysis

Abstract

Keywords

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