Publication Type : Conference Paper
Publisher : VCASAN-2013
Source : Proceedings of International Conference on VLSI, Communication, Advanced Devices, Signals & Systems and Networking (VCASAN-2013), Springer India, India (2013)
Url : https://link.springer.com/chapter/10.1007/978-81-322-1524-0_34
ISBN : 9788132215240
Campus : Bengaluru
School : School of Engineering
Department : Electrical and Electronics
Year : 2013
Abstract : This paper presents the technique for denoising of partial discharge (PD) signals using genetic algorithm (GA) based on wavelet shrinkage. For the high voltage (HV) equipment in services, it is desired to perform PD tests when the equipment is in operation. The measurements, however, are seriously affected by the interference signals resulting from different sources. In order to enhance the sensitivity of a PD online monitoring system, many digital signal processing methods have been put forward for removal of noises. But to obtain the optimum denoising GA is applied. Here, first, optimum signal-to-noise ratio was obtained using modified wavelet technique (WT), and then, the same was obtained using GA and compared.
Cite this Research Publication : Bindiya Tyagi and Vidya H. A., “Application of Wavelet Shrinkage Denoising Method Based on Genetic Algorithm to Partial Discharge Signals”, in Proceedings of International Conference on VLSI, Communication, Advanced Devices, Signals & Systems and Networking (VCASAN-2013), India, 2013.