Severity Diagnosis and Assessment of the Partial Discharge Provoked by High-Voltage Electrode Protrusion on GIS Insulator Surface

Qi, Bo; Li, Chengrong; Geng, Bibo; Hao, Zhen

doi:10.1109/tpwrd.2011.2162753

Cited by 28 publications

(20 citation statements)

References 7 publications

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“…To investigate the developing process of PD under protrusion defect, we can apply the test voltage in two ways, namely, the constant and step voltage methods [17]. However, the constant voltage method is time-consuming; hence, it is unsuitable for regular experimental studies.…”

Section: Experimental Methodsmentioning

confidence: 99%

“…The investigation of PD development process mainly aims to extract the PD characteristics that guide equipment condition-based maintenance. Research has determined the statistical characteristics of PD, including discharge times, amplitudes, and phases [12][13][14][15][16][17][18]. According to the analysis, the ratios of discharge times between positive and negative half-cycles are regular, as well as the ratios of discharge times and amplitudes.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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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Section: Experimental Methodsmentioning

confidence: 99%

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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show abstract

“…As suggested in [6][7][8][9][10][11][12][13], a partial discharge phenomenon can be characterized in most cases by the partial discharge phase, mean discharge number, mean discharge, mean discharge frequency, and so on, and the commonly seen approaches for defect pattern recognition include Fourier transform, Discrete Fourier Transform, Hilbert-Huang Transform (HHT), etc. Although the embedded characteristics can be extracted directly from partial discharge signals, a large database is required when statistics are performed on the characteristics of interest over a long time span.…”

Section: Open Accessmentioning

confidence: 99%

Chaos Synchronization Error Technique-Based Defect Pattern Recognition for GIS through Partial Discharge Signal Analysis

Chen

Yau

Chen

2014

Entropy

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Abstract:The work is aimed at using the chaos synchronization error dynamics (CSED) technique for defect pattern recognition in gas insulated switchgear (GIS). The radiated electromagnetic waves generated due to internal defects were measured by the self-made ultrahigh frequency (UHF) micro-strip antenna, so as to determine whether partial discharge will occur. Firstly, a data pretreatment is performed on the measured raw data for the purpose of computational burden reduction. A characteristic matrix is then constructed according to dynamic error trajectories in a chaos synchronization system, subsequent to which characteristics are extracted. A comparison with the existing Hilbert-Huang Transform (HHT) method reveals that the two characteristics extracted from the CSED results presented herein using the fractal theory were recognized at a higher rate pattern.

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“…Many UHF sensors were installed in the China, for instance, more than 2500 PD sensors have been mounted on GIS in Guangdong Province. In recent two years, the investigation of sensor arrangement, sensitivity, field calibration, and relationship between PD and fault severity were studied [3,4]. Nowadays, the PD detection studies are still focused on the anti-noise and pattern recognition.…”

Section: A Partial Dischargementioning

confidence: 99%

Recent progress of CMD research and applications in China

Guo

et al. 2012

2012 IEEE International Conference on Condition Monitoring and Diagnosis

Self Cite

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Accompanying with the significant development of power industry, condition monitoring and diagnosis (CMD) for power apparatus is developing rapidly in China in recent years. This paper introduces the recent progress of CMD research and applications in China, including field applications of CMD to power substation and power transmission lines by on-line monitoring and on-site detecting devices, the novel sensors and technologies developed, and CMD standards established in China. The problems of the existing CMD systems and the trend of CMD development in China are also presented.

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Severity Diagnosis and Assessment of the Partial Discharge Provoked by High-Voltage Electrode Protrusion on GIS Insulator Surface

Cited by 28 publications

References 7 publications

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

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

Chaos Synchronization Error Technique-Based Defect Pattern Recognition for GIS through Partial Discharge Signal Analysis

Recent progress of CMD research and applications in China

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