Use of a mixed-weibull distribution for the identification of PD phenomena

The interaction between partial discharge (PD) phenomena occurring in insulating systems is investigated in this paper. In particular, the recognition of two PD phenomena simultaneously active is approached by means of a 5-parameter additive Weibull distribution. Various shapes of the PD height distribution, obtained from measurements performed on specimens of stator bars and windings of ac rotating machines, are considered. It is shown that the proposed probability function fits well the partial discharge height distributions. By this way the probability distribution relevant to each concurring PD phenomenon can be derived, analyzed and identified. Moreover, the standard average quantities are estimated for each phenomenon.

[1]  John C. Fothergill,et al.  Estimating the cumulative probability of failure data points to be plotted on Weibull and other probability paper , 1990 .

[2]  Estimation of Mixed-Weibull Distributions Parameters and Standard Quantities for Partial Discharges Analysis , 1994 .

[3]  Alfredo Contin,et al.  Diagnosis of practical insulation systems by partial discharge measurements in the presence of multi-discharge phenomena , 1993, Proceedings of IEEE Conference on Electrical Insulation and Dielectric Phenomena - (CEIDP '93).

[4]  B. Florkowska,et al.  Pulse height analysis of partial discharges in air , 1993 .

[5]  Gian Carlo Montanari,et al.  Progressively-censored aging tests on XLPE-insulated cable models , 1988 .

[6]  R. J. Brunt,et al.  Stochastic properties of partial-discharge phenomena , 1991 .

[7]  Jerald F. Lawless,et al.  Statistical Models and Methods for Lifetime Data. , 1983 .

[8]  Wayne Nelson,et al.  Applied life data analysis , 1983 .

[9]  D. Kececioglu,et al.  Graphical representation of two mixed-Weibull distributions , 1992 .

[10]  A. Cohen,et al.  Maximum Likelihood Estimation in the Weibull Distribution Based On Complete and On Censored Samples , 1965 .

[11]  E. Gulski.  Computer-aided recognition of partial dicharges using statistical tools , 1991 .

[12]  Alfredo Contin,et al.  A monitoring and diagnostic technology, based on PDAD detection and analysis, for HV generators , 1990, IEEE International Symposium on Electrical Insulation.

[13]  Dimitri Kececioglu,et al.  Maximum likelihood estimates, from censored data, for mixed-Weibull distributions , 1992 .

[14]  A. Contin,et al.  Study of Electrical Ageing in Stator Bar Insulation by Partial Discharge Amplitude Distribution Analysis , 1987 .

[15]  Gian Carlo Montanari,et al.  An approach to partial-discharge investigation by height-distribution analysis , 1995 .

[16]  N. Singpurwalla,et al.  Methods for Statistical Analysis of Reliability and Life Data. , 1975 .