Partial discharge signal denoising by using hard threshold and soft threshold methods and wavelet transformation

Conference on Innovation in Technology and Engineering Science

工业技术（总论）

Zaeni, A.^1 ; Kasnalestari, T.^1 ; Khayam, U.^1

School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia^1

关键词: De-noising;    Isolation systems;    Noise removal;    Partial discharge signal;    Soft threshold;    Wave forms;    Wavelet transformations;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/602/1/012034/pdf
DOI  :  10.1088/1757-899X/602/1/012034

学科分类：工业工程学

来源: IOP

【 摘 要 】

The important thing to do after we detect the existence of partial discharges inside an isolation system is signal processing. One form of signal processing that needs to be carried out on the generated waveform is denoising or noise removal from the wave obtained. In this study, an experiment will be conducted to denounce partial discharge waves using Wavelet and Threshold transformations. Wavelet transformation is applied in various levels then we compare the best denomination while denoisation using Threshold is applied using Soft Threshold and Hard Threshold.