Title :
On the identification of insulation defects supporting partial discharges
Author_Institution :
Dept. of Eng. & Archit., Univ. of Trieste, Trieste, Italy
Abstract :
The identification of defects supporting Partial Discharge (PD) phenomena in insulation systems of HV machines and components, is a fundamental requirement of any diagnostic procedure because different defect typologies can affect in different ways the insulation reliability. Once a defect is correctly identified, it can be monitored and a repair action can be planned to prevent catastrophic failures. An effective identification requires specific definitions, algorithms and validation procedures. An identification method based on the organization of robust markers in a tree-structure, is presented in this paper. Some examples are discussed to show its advantages/limitations in the perspectives of a possible future development of fully automated diagnostic procedures and smart instruments.
Keywords :
machine insulation; partial discharges; HV machine insulation systems; PD phenomena; fully automated diagnostic procedures; insulation defects identification; insulation reliability; partial discharge phenomena; partial discharges; robust marker organization; smart instruments; tree-structure; Bars; Discharges (electric); Insulation; Partial discharges; Robustness; Shape; Stress; AC Insulation Systems; Defect Identification; Diagnostics; Partial Discharges;
Conference_Titel :
AEIT Annual Conference - From Research to Industry: The Need for a More Effective Technology Transfer (AEIT), 2014
Conference_Location :
Trieste
Print_ISBN :
978-8-8872-3724-5
DOI :
10.1109/AEIT.2014.7002034