Neural networks to analyze surface tracking on solid insulators

Ugur, Mukden; Auckland, D.W.; Varlow, B.R.; Emin, Z.

doi:10.1109/94.654694

Cited by 44 publications

(27 citation statements)

References 3 publications

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“…Leakage current exhibits pure sinusoidal waveform whereas discharge and tracking signals depicts oscillations and shoulders on the sinusoidal wave [2,5]. It is considerably an easy task to determine leakage currents on the insulator; however it is much more complicated to classify current signals either as discharge or as tracking.…”

Section: Introductionmentioning

confidence: 99%

“…These methods are basically based on the extracted features of Fast Fourier Transform (FFT) of surface current signals [2,11]. FFT analysis is a quite satisfactory tool for stationary signals, however for nonstationary signals such as discharge and tracking signals, FFT analysis cannot reveal information about particular frequency rises on the signal.…”

Section: Introductionmentioning

confidence: 99%

“…Due to non-healing characteristics of solid insulators, breakdown of an insulator is irreversible and hence total breakdown may occur. On-line monitoring systems may detect total power system failure originated on a single insulator, but it is not expected to save insulator itself when breakdown initiates [2].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Investigation of Degradative Signals on Outdoor Solid Insulators Using Continuous Wavelet Transform

Uzunoğlu¹

2016

Journal of Electrical Engineering and Technology

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-Most outdoor solid insulators may suffer from surface degradations due to non-stationary currents that flow on the insulator surface. These currents may be classified as leakage, discharge and tracking currents due to their disturbing potencies respectively. The magnitude of these currents depends on the degree of the contamination of surface. The leakage signals are followed by discharge signals and tracking signals which are capable of forming carbonized tracking paths on the surface between high voltage and earth contacts (surface tracking). Surface tracking is one of the most breakdown mechanisms observed on the solid insulators, especially polymers which may cause severely reduced lifetime. In this study the degradations observed on polyester resin based insulators are investigated according to the IEC 587 Inclined Plane Test Standard. The signals are monitored and recorded during tests until surface tracking initiated. In order to prevent total breakdown of an insulator, early detection of tracking signals is vital. Continuous Wavelet Transform (CWT) is proposed for classification of signals and their energy levels observed on the surface. The application of CWT for processing and classification of the surface signals which are prone to display high frequency oscillations can facilitate real time monitoring of the system for diagnosis.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Investigation of Degradative Signals on Outdoor Solid Insulators Using Continuous Wavelet Transform

Uzunoğlu¹

2016

Journal of Electrical Engineering and Technology

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“…M.Ugur et al, [16] proposed a methodology to classify the surface condition of the polymeric insulation structure using neural network approach by utilizing the features extracted from the FFT analysis of the LC during tracking test. FFT is most suited for stationary time series signals.…”

Section: Introductionmentioning

confidence: 99%

“…Various approaches were used to predict the flashover and surface degradation of outdoor insulators [4][5][6][7][8][9][10][11][12][13][14][15][16][17]. R.S.Gorur et al, [7] measured the surface resistance to identify the surface condition of non-ceramic insulators.…”

Section: Introductionmentioning

confidence: 99%

S-Transform Based Time-Frequency Analysis of Leakage Current Signals of Transmission Line Insulators under Polluted Conditions

Natarajan¹,

Narayanan²

2015

Journal of Electrical Engineering and Technology

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-Flashover of power transmission line insulators due to contamination is a major threat to the reliable operation of power system. This paper deals with the analysis of leakage current characteristics of polymeric insulator using S-Transform technique in order to develop a better diagnostic tool to identify the surface condition of outdoor polymeric insulators. In this work, experiments were carried out on 11 kV silicone rubber insulator under AC voltage at different pollution levels. Moving average technique was adopted to find the trend followed by LC peak at different relative humidity conditions. S-Transform was used to find the relationship between energy and frequency content of the leakage current signal with respect to increase in pollution level over a period of time. From the S-Transform time-frequency contour analysis, point of transition to severe arcing due to increase in pollution and its thershold limit were evaluated. Reported results show that the surface condition of insulators could be easily identified from the S-Transform time-frequency analysis of leakage current signals.

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