Title :
Diagnosis of HV stator bars insulation in the presence of multi partial-discharge phenomena
Author :
Contin, A. ; Fenu, G.F. ; Parisini, T.
Author_Institution :
Dipt. di Elettrotecnica Elettronica ed Inf., Trieste Univ., Italy
Abstract :
Results of Partial Discharge (PD) measurements, performed on insulation system of rotating machines, are processed referring to the Weibull statistics. Probability functions based on the additive-mixed Weibull distribution are used to fit experimental data obtained in the presence of PD phenomena of different types, simultaneously active. A non-parametric Kernel Regression technique is adopted to pre-process the experimental data in order to determine the number of components and the basic characteristics of the mixed distribution. A tree structure for the PD phenomena clustering, particularly useful to monitor the time and/or voltage behavior of multi-PD phenomena, is proposed
Keywords :
Weibull distribution; insulation testing; machine insulation; machine testing; partial discharges; stators; trees (electrical); HV stator bars insulation; Weibull statistics; additive-mixed Weibull distribution; multi partial-discharge phenomena; nonparametric kernel regression technique; probability functions; rotating machines; tree structure; voltage behavior; Insulation; Partial discharge measurement; Partial discharges; Performance evaluation; Probability; Rotating machines; Rotation measurement; Statistical distributions; Stator bars; Weibull distribution;
Conference_Titel :
Electrical Insulation and Dielectric Phenomena, 1996., IEEE 1996 Annual Report of the Conference on
Conference_Location :
Millbrae, CA
Print_ISBN :
0-7803-3580-5
DOI :
10.1109/CEIDP.1996.564516
