Detection of Partial Discharge Sources using Acoustic Sensor

Significant Aspects of the book: In majority of the literature, multiple or more than one partial discharge sources are not considered. But, it is reported that multiple partial discharges occur at the same period of time in many PD cases. In most of the research works emphasis is not given on identification of multiple PD sources within the insulation system. In this book this gap has been bridged by identification and discrimination of multiple PD sources with reasonably good accuracy. To the best of knowledge of the author, the following are original contributions of the book: a) PD source identification has been done within the emulated real life power transformer in laboratory environment. b) Discrimination of single as well as multiple PD signals within the emulated transformer from "Multi sensor system". c) Development of a cross-wavelet transform (XWT) aided ensemble binary support vector machine (EB-SVM) based scheme for discrimination or localization of individual and multiple PD sources inside the emulated transformer using acoustic sensor.

Autorentext

Subrata Biswas was born in Kolkata, India in 1978. He obtained his B.E. degree from Burdwan University, M.E.E and Ph. D. degree from Jadavpur University, Kolkata, India in 2002 and 2006 and 2017 respectively. Presently he holds the post of Assistant Professor in the Department of Electrical Engineering, Netaji Subhash Engineering College, Kolkata,