A novel level-based automatic wavelet selection scheme for Partial Discharge measurement
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Partial Discharge (PD) measurement is widely adopted for assessing the insulation conditions of high voltage (HV) equipment. Wavelet transformation (WT) is one the de-noising techniques to extract PD signals from a variety of environmental noises and interferences. In wavelet-based PD signal de-noising, mother wavelet selection is one of the major challenges. This paper proposes a novel level-based (LB) automatic mother wavelet selection scheme in conjunction with discrete WT (DWT) for PD signal de-noising. The de-noising results on both simulative and measured PD signals showed that the proposed scheme could successfully and consistently extract PD signals from noisy signals and retain their integrity.
Australasian Universities Power Engineering Conference: Green Smart Grid Systems
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Electrical and Electronic Engineering not elsewhere classified