Title :
Comparative study of statistical breakdown in mineral, synthetic and natural ester oils under AC voltage
Author :
Dang, Viet-Hung ; Beroual, A. ; Perrier, C.
Author_Institution :
Ecole Centrale de Lyon, Ecully, France
fDate :
10/1/2012 12:00:00 AM
Abstract :
This paper reports on a comparative study of statistical Breakdown Voltage (BDV) in mineral oils, natural esters (vegetable oils) issued from different origins, and one synthetic ester through the measurements of 32 BDV using spherical electrode under AC voltage according to main lines of IEC 60156 specifications. The Normal and Weibull distribution functions are used to analyze and estimate the BDV probability of these oils. The hypothesis testing is then used to select the distribution functions suitability. We mainly analyze the histogram, frequency, mean, standard deviation and estimate the BDV probability of the sample population. The considered liquids are three different mineral oils (MO3´, MO4´ and MO5), one synthetic ester (SE1) and three different natural esters (VO2, VO3 and VO4). It´s shown that the measured BDV data follow better Normal than Weibull distribution. Basing on the BDV at the levels of risk 1%, 10% and 50% probability for U1%, U10% and U50%, the dielectric withstand of ester oils, under AC, homogeneous field and small gap, is slightly better compared to mineral oils. PCA (Principal Component Analysis) method is also used to analyse the BDV variance of tested oils.
Keywords :
Weibull distribution; electric breakdown; electrodes; insulating oils; minerals; principal component analysis; probability; statistical testing; AC voltage; BDV probability; IEC 60156 specifications; PCA method; Weibull distribution functions; histogram deviation analysis; homogeneous field; hypothesis testing; mineral oil; natural ester oils; normal distribution functions; principal component analysis; spherical electrode; standard deviation analysis; statistical breakdown voltage; synthetic ester oils; Electric breakdown; IEC standards; Minerals; Principal component analysis; Probability; Vegetable oils; Breakdown voltage; Mineral and ester oils; Statistical analysis;
Journal_Title :
Dielectrics and Electrical Insulation, IEEE Transactions on
DOI :
10.1109/TDEI.2012.6311494