Pollution Severity Diagnose on Solid Insulators using the Partial Discharge and Flashover Characteristics
M. Peratchiammal1, N. B. Prakash2, B. Vigneshwaran3

1Ms. M. Peratchiammal, Department of EEE, National Engineering College, Kovilpatti (Tamil Nadu) India.
2Dr. N. B.Prakash, Associate Professor, Department of EEE, National Engineering College, Kovilpatti (Tamil Nadu) India.
3Dr. B. Vigneshwaran, Assistant Professor (Senior Grade), Department of EEE, National Engineering College, Kovilpatti (Tamil Nadu) India.
Manuscript received on January 15, 2020. | Revised Manuscript received on January 23, 2020. | Manuscript published on February 10, 2020. | PP: 2523-2528 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1903029420/2020©BEIESP | DOI: 10.35940/ijitee.D1903.029420
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Abstract: In this paper deals with the investigation of partial discharge and flashover characteristics of the ceramic and non-ceramic insulators in order to succeed a best diagnostic tool to determine the pollution severity of exterior insulators. In this experiment, laboratory based tests are achieve on the ceramic and non-ceramic insulators under AC voltage at various pollution levels manipulate the sodium chloride (NaCl) a as contaminant. Initially the test are conducted by the pure and contaminated at sample of insulators. In supplement, Partial discharge (PD) occurs on the contaminated surface of the sample insulator is to be measured and to investigate the PD wave form. The PD detection is sufficient to analyze maintenance of insulators of the transmission line. To evaluate the statistical analysis of PD patterns in order to accomplish a numerical judgment of pollution severity of the ceramic and non-ceramic insulators. In consequence, ceramic and non-ceramic insulator exhibit the pollution severity of the exterior insulators should be recognized from the partial discharge patterns investigation. 
Keywords: Insulators, Statistical Analysis, Flashover, Partial Discharge, Contamination, Pollution Severity, ESDD.
Scope of the Article:  Structural Reliability Analysis