Title :
Investigation of online detected partial discharges in power transformer
Author :
Ghaffarian, M. ; Vakilian, M. ; Parvin, V. ; Ghaedi, A.
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran
Abstract :
In this paper some advantage of online monitoring in power transformer and the sensors that can be used for partial discharge detection are described. Several detected PD in one power transformer and one distribution transformer are depicted. Matlabs wavelet package is employed to de-noise the recorded signals. As it appear from the captured and the de-noised signals, PD signals in an aged power transformer are often enough large that can be easily detected through the noisy measured signals. By examination of the frequency spectrum of several PD signal in this paper it is obvious that this signal contain two major frequency band, one under 1MHz and the other one between 7 to 9 MHz.
Keywords :
computerised monitoring; partial discharge measurement; power engineering computing; power transformer testing; signal denoising; wavelet transforms; Matlab wavelet package; PD signal measurement; bandwidth 1 MHz; distribution transformer; frequency 7 MHz to 9 MHz; frequency spectrum; online monitoring; online partial discharge detection; power transformer; signal de-noising; Electric variables measurement; Frequency; Magnetic field measurement; Monitoring; Partial discharge measurement; Partial discharges; Pollution measurement; Power transformers; Testing; Voltage; de-noising; on-line monitoring; partial discharge; power transformer; wavelet transform;
Conference_Titel :
Power Engineering Conference, 2008. AUPEC '08. Australasian Universities
Conference_Location :
Sydney, NSW
Print_ISBN :
978-0-7334-2715-2
Electronic_ISBN :
978-1-4244-4162-4