Title :
Estimating the remaining BDV for large generator stator winding by using nondestructive insulation diagnostic data based on statistical method
Author :
Jia, Z.D. ; Liu, Y.Y. ; Hao, Y.P. ; Xie, H.K.
Author_Institution :
Tsinghua Univ., Beijing, China
Abstract :
The actual stator bars of 18 kV/300 MW generator are used for accelerated multi-stress aging experiments to investigate the relationship between the remaining breakdown voltage (BDV) and the nondestructive insulation diagnostic data. At the end of aging experiment, AC breakdown test is done to the bars after their nondestructive data has been measured. The BDV data fits Weibull distribution. The correlation between dissipation factor, the PD parameter and breakdown voltage has been analyzed, among which the skewness of average discharge has the most correlation with breakdown voltage. Regression analysis is carried on using step-by-step multiple regression method and a mathematical expression is extracted, which can be used to predict the breakdown voltage
Keywords :
Weibull distribution; ageing; electric breakdown; electric generators; insulation testing; life testing; machine testing; nondestructive testing; statistical analysis; stators; 18 kV; 300 MW; AC breakdown test; PD parameter; Weibull distribution; accelerated multi-stress aging; average discharge skewness; bars; breakdown voltage; dissipation factor; generator; mathematical expression; nondestructive insulation diagnostic data; nondestructive parameters; regression analysis; remaining breakdown voltage; stator bars; stator winding insulation; step-by-step multiple regression method; Accelerated aging; Data mining; Electric breakdown; Insulation; Nondestructive testing; Partial discharges; Regression analysis; Stator bars; Stator windings; Weibull distribution;
Conference_Titel :
Electrical Insulating Materials, 2001. (ISEIM 2001). Proceedings of 2001 International Symposium on
Conference_Location :
Himeji
Print_ISBN :
4-88686-053-2
DOI :
10.1109/ISEIM.2001.973771
