Title :
Insulation status assessment in high voltage cables based on decision tree algorithm
Author :
Yazdandoust, A.R. ; Haghjoo, F. ; Shahrtash, S.M.
Author_Institution :
Center of Excellence for Autom. & Oper. of Power Syst., Iran Univ. of Sci. & Technol., Tehran
Abstract :
In this paper, a novel approach for insulation condition assessment is presented. This method is based on processing the detected partial discharge pulses by using a decision tree algorithm. In training procedure, not only partial discharge parameters are collected for different cavity sizes and depths, but also the influence of aging in cable insulation is considered. Results have shown high reliable performance of the proposed classifier. Also the influence of different parameters in training procedure is shown and discussed.
Keywords :
ageing; computerised monitoring; condition monitoring; decision trees; high-voltage engineering; insulation testing; learning (artificial intelligence); partial discharge measurement; pattern classification; power cable insulation; power cable testing; power engineering computing; cable insulation aging; cavity depth; cavity size; decision tree algorithm; high-voltage cable insulation; insulation condition assessment; insulation status assessment; partial discharge pulse detection; pattern classifier; thermal aging; training procedure; Aging; Cable insulation; Cables; Classification tree analysis; Decision trees; Partial discharges; Power system reliability; Pulse power systems; Testing; Voltage; Decision Tree; High Voltage Power Cables; Insulation Assessment; Partial Discharge;
Conference_Titel :
Electric Power Conference, 2008. EPEC 2008. IEEE Canada
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-2894-6
Electronic_ISBN :
978-1-4244-2895-3
DOI :
10.1109/EPC.2008.4763312
