Conditions of discharge-free operation of XLPE insulated power cable systems

Schaik, N. van; Czaszejko, Tadeusz

doi:10.1109/tdei.2008.4591235

Cited by 20 publications

(8 citation statements)

References 8 publications

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“…The partial discharge (PD) in high‐voltage cross‐linked polyethylene (XLPE)power cable joint is the main cause of insulation degradation as well as the main characteristic quantity that represents insulation conditions . Therefore, the feature extraction of PD signal is fundamental in obtaining the effective feature quantity when PD signals are used to identify insulating defects, which is the most important difficult point in PD pattern recognition .…”

Section: Introductionmentioning

confidence: 99%

Gray intensity image feature extraction of partial discharge in high-voltage cross-linked polyethylene power cable joint

Wang

Tang

Zhang

et al. 2012

Int. Trans. Electr. Energ. Syst.

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SUMMARY A feature extraction method for gray intensity image of partial discharge (PD) is applied to recognize the insulating defects in high‐voltage cross‐linked polyethylene power cable joint. The method is based on a two‐directional and two‐dimensional (2‐D) maximum margin criterion (MMC). A 2‐D orthogonal projection of gray intensity image of PD was performed in horizontal and vertical directions. Projected image data were taken as discriminant vector of different gray intensity images to solve the high dimensional and small sample size of PD gray intensity image. The nearest neighbor classifier was used to classify the PD gray intensity image to recognize different insulating defects in the joint. The recongnition results of four typical insulating defects in the laboratory indicated that the extraction speed of the gray intensity image feature and recognition rate of insulating defects are superior compared with the common principal component analysis and Fisher discriminant analysis with MMC. Copyright © 2012 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%

Gray intensity image feature extraction of partial discharge in high-voltage cross-linked polyethylene power cable joint

Wang

Tang

Zhang

et al. 2012

Int. Trans. Electr. Energ. Syst.

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“…Now, a PD analog signal [16] is taken as an example to illustrate deficiency of EMD. In [16], the single exponent attenuation signal is shown as (1), and the single exponent vibration signal is shown as (2).…”

Section: Emd Decompositionmentioning

confidence: 99%

“…In the process of its real operation, the power transformer is unavoidably subjected to such outside influences as electricity, machinery, heat, etc., causing its winding insulation to deteriorate and thus producing electric discharges, and further threatening the operation security of whole system. For this reason, accurately extracting the partial discharge (PD) signal feature is of great significance for assessing the degree of transformer insulation deterioration [1,2].…”

Section: Introductionmentioning

confidence: 99%

Transformer partial discharge signal reconstruction and feature extraction method based on time–frequency matrix

Wang

Xie

Jia

et al. 2017

IEEJ Transactions Elec Engng

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Effectively extracting power transformer partial discharge (PD) signals is of great significance for monitoring the power transformer insulation state. However, practical and effective extraction methods have been lacking. This paper proposes a novel method for the extraction PD signals feature by the analysis of their time–frequency matrix. First, empirical mode decomposition (EMD) is carried out for raw signals to obtain the complete Hilbert time–frequency spectrum. Second, the frequency band partition is carried out. And the component of raw signals on each frequency band is constructed after filtering by a Hilbert–Huang transform (HHT) band‐pass filter. Then the time–frequency matrix is constructed by different frequency band components, and singular value decomposition is carried out. Using its singular value energy spectrum, the PD signal is reconstructed, further realizing feature extraction. Finally, the analysis result from actual examples indicates that this method can effectively extract PD signal feature frequency spectrum, and meanwhile also can eliminate the strong background interference and retain the higher time–frequency resolution. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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“…This breakdown significantly affects social stability and economic development adversely [1]. PD is a main factor that causes insulation deterioration [2]. As such, PD severity can be monitored to determine the insulation condition of GIS and prevent insulation faults in reasonable and effective condition-based maintenance.…”

Section: Introductionmentioning

confidence: 99%

Features Extraction and Mechanism Analysis of Partial Discharge Development under Protrusion Defect

Dong¹,

Tang²,

Zeng³

et al. 2015

Journal of Electrical Engineering and Technology

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-In order to study the development of partial discharge (PD) under typical protrusion defects in gas-insulated switchgear, we applied step voltages on the defect and obtained the φ-u and φ-n spectrograms of ultra-high frequency (UHF) PD signals in various PD stages. Furthermore, we extracted seven kinds of features to characterize the degree of deterioration of insulation and analyzed their values, variation trends, and change rates. These characteristics were inconsistent with the development of PD. Hence, the differences of these features could describe the severity of PD. In addition, these characteristics could provide integrated characteristics regarding PD development and improve the reliability of PD severity assessment because these characteristics were extracted from different angles. To explain the variation laws of these seven kinds of parameters, we analyzed the relevant physical mechanism by considering the microphysical process of PD formation and development as well as the distortion effect generated by the space charges on the initial field. The relevant physical mechanism effectively allocated PD severity among these features for assessment, and the effectiveness and reliability of using these features to assess PD severity were proved by testing a large number of PD samples.

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Conditions of discharge-free operation of XLPE insulated power cable systems

Cited by 20 publications

References 8 publications

Gray intensity image feature extraction of partial discharge in high-voltage cross-linked polyethylene power cable joint

Gray intensity image feature extraction of partial discharge in high-voltage cross-linked polyethylene power cable joint

Transformer partial discharge signal reconstruction and feature extraction method based on time–frequency matrix

Features Extraction and Mechanism Analysis of Partial Discharge Development under Protrusion Defect

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