Partial discharge signal denoising method based on SVD and VMD combined wavelet threshold

• Main Authors: YAO YONGLIANG, GUO LU, SHI YUTAO, WANG HAILONG, WU YUSHUO, WANG TING, WANG YIHU, ZHANG HANG, ZHANG GUANGDONG, CHEN BODONG, BAO YANYAN
• Format: Patent
• Language: Chinese; English
• Published: 08.03.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; MEASURING; MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES; PHYSICS; TESTING

The invention discloses a partial discharge signal denoising method based on SVD and VMD combined wavelet threshold, and the method comprises the steps: carrying out the SVD of an actual measurement signal, setting a proper singular value threshold according to the value of a singular value, and setting the singular value greater than the threshold to zero; carrying out inverse SVD (singular value decomposition) processing on the processed singular value; performing VMD decomposition on the signal after SVD processing, calculating kurtosis values of modal components after decomposition, and screening out the modal components with the kurtosis values smaller than 3; carrying out improved wavelet threshold de-noising processing on the screened modal components, and restructuring the processed modal components into new signals; according to the method, de-noising can be carried out step by step according to the structure of the interference signals, periodic narrow-band interference and white noise interference