A novel level-based automatic wavelet selection scheme for Partial Discharge measurement

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Author(s)
Chan, Jeffery
Ma, Hui
Saha, Tapan
Ekanayake, Chandima
Griffith University Author(s)
Year published
2012
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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 ...
View more >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.
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View more >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.
View less >
Conference Title
Australasian Universities Power Engineering Conference: Green Smart Grid Systems
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Subject
Electrical and Electronic Engineering not elsewhere classified