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Classification of discharge patterns during ageing of insulation

Classification of discharge patterns during ageing of insulation. Abstract Introduction Discharge detection and recognition Short-term ageing of cavities Long-term ageing till breakdown of a 12kV current transformer Conclusions. Abstract.

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Classification of discharge patterns during ageing of insulation

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  1. Classification of discharge patterns during ageing of insulation Abstract Introduction Discharge detection and recognition Short-term ageing of cavities Long-term ageing till breakdown of a 12kV current transformer Conclusions

  2. Abstract • This paper investigated discharge distributions during ageing of artificial cavities. • Conventional discharge detection with statistical processing of discharge signals analyze a 12kV current transformer. • Using various mathematical techniques a data base of discharge patterns. • Recognition of discharges in HV components. • Periodic testing of HV equipment.

  3. Instroduction • Recognized in the past that the degradation of insulation by discharge takes place in stages. • Recent research on discharges in cavities in polyethylene => At least three consecutive stages • In third stage : formation of pits on the cavity = final breakdown of the insulation • Discharge measurment => estimate of an ageing stage of HV component • Observe discharge patterns during ageing of artificial cavities and a 12kV current tansformer and to classify the patterns according their ageing stage.

  4. Discharge detection and recognition • PD measurement : statistical discharge analyzer(TEAS 570 by Haefely ; bandwidth 40-400kHz) • The shape of the maximum pulse height distribution : • The shape of the mean pulse height distribution : • The shape of the pulse count distribution : • The number of discharge as a function of the discharge magnitude : H(q) • The number of discharges as a function of the discharge energy : H(p) • H(q), H(p) are described by statistical parameters => skewness, kurtosis

  5. Discharge detection and recognition • In this way a set of 29 parameters : fingerprint => a basic element for the recognition • The centour score method : indicates the match between fingerprints. => 100% for a perfect fit, 0% for a complete lack of resemblance

  6. Short-term ageing of cavities • Polyethylene(diameter 5-9mm, height 0.4-0.5mm) • Tree stage of ageing due to PD; (a) virgin : first 2 min. after reached test voltage (b) conditioned : 5-10 min. from the beginning (c) aged : 90 min. from the beginning • Fingerprint collecte : each aged stage – test voltage 50-80% • Pattern recognition purpose : single classification category, represented by a number of finger

  7. Short-term ageing of cavities -Simplicity phase-related distributions -Significant change in the distribution : short time • virgin stage : atypical patterns, equal discharge magnitude in both half-cycles • , metallic oxide layer on the surface of a metallic electrode. • Conditioned stage : asymmetry, ‘burn-out’ of a metallic oxide layer. • Aged stage : rapid changes in discharge patterns.

  8. Short-term ageing of cavities -Total of 26 fingerprints were classified -Cluster analysis of fingerprints -The group average method -Sorts fingerprints in the form of a tree -’branchs’ can be identified -Fingerprints of each stage : used for the creation of a data(an assessment of condition in discharge site)

  9. Long-term ageing till BD of a 12kV current transformer -A 12kV current transformer -Discharge at a 28kV -Cause of discharge : cavities, cracks situated -900 hours, increased in step 45~90kV -H(q) : three distinct peaks -The test voltage of 40kV -After few hours : discharge extinguish => (sensitivity of 1pC)

  10. Long-term ageing till BD of a 12kV current transformer -No discharges detectable at 40kV -Everyday 40~90kV increased -After stage 2 : No meaurable discharges -After 850hour : reappeared after 50hours => about 110pC, test voltage(65kV) -Fig 5(b) : group(ageing stage) as a function of the ageing time -Three different groups of fingerprints -The collecyed fingerprints : cluster analysis -No discharges stage : sensitivity(1pC)

  11. Long-term ageing till BD of a 12kV current transformer -Discharge distributions

  12. Conclusions • Discharge patterns during ageing - artificial electrode bounded cavities - A 12kV current transformer • The discharge patterns changed several times during ageing period. • Cluster analysis, the group average method : ageing stages during the ageing tests • Centour method : classification of fingerprints to ageing stage • Recognition tools(the group average method in combination with the centour score method) have a good potential for industrial application(recofnition of discharges in HV components, periodic testing of HV equipment)

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