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Volumn , Issue , 2010, Pages

Partial Discharge Pattern Analysis Based on 2-D Wavelet Transform

Author keywords

2 D wavelet transform; Edge detection; Partial discharge

Indexed keywords

2-D WAVELET TRANSFORM; CONDITION ASSESSMENTS; DETECTION SYSTEM; EFFECTIVE TOOL; INSULATION DEFECTS; PARTIAL DISCHARGE MEASUREMENTS; PARTIAL DISCHARGE PATTERN; PD PATTERN; ROBUST CAPABILITY; SEMI-CONDUCTOR;

EID: 84869991992     PISSN: 21574839     EISSN: 21574847     Source Type: Conference Proceeding    
DOI: 10.1109/APPEEC.2010.5449350     Document Type: Conference Paper
Times cited : (4)

References (6)
  • 1
    • 0029185063 scopus 로고
    • Neural Network System Using the Multi-layer Perceptron Technique for the Recognition of PD Pulse Shapes due to Cavities and Electrical Trees
    • A. A. Mazroua, R. Bartnikas and M. M. A. Salama, Neural Network System Using the Multi-layer Perceptron Technique for the Recognition of PD Pulse Shapes due to Cavities and Electrical Trees, IEEE Trans. Power Del., Vol. 10, pp. 92-96, 1995.
    • (1995) IEEE Trans. Power Del. , vol.10 , pp. 92-96
    • Mazroua, A.A.1    Bartnikas, R.2    Salama, M.M.A.3
  • 2
    • 0029516030 scopus 로고
    • Use of a Mixed Weibull Distribution for the Identification of PD Phenomena
    • M. Cacciari, A. Contin and G. C. Montanari, Use of a Mixed Weibull Distribution for the Identification of PD Phenomena,IEEE Trans. Dielectr. Electr. Insul., Vol. 2, pp. 1166-1179, 1995.
    • (1995) IEEE Trans. Dielectr. Electr. Insul. , vol.2 , pp. 1166-1179
    • Cacciari, M.1    Contin, A.2    Montanari, G.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.