An adaptive high-voltage direct current detection algorithm using cognitive wavelet transform

作者：

Highlights：

• An algorithm is proposed using wavelet transform cognitively.

• This algorithm overcomes the WPT’s disadvantage of needing to determine the level.

• A wavelets selection method is designed using quantitative and qualitative approaches.

• The first time the cathodic protection data is used for HVDC detection.

• A wavelet-based application framework is designed to detect HVDC discharge.

摘要

•An algorithm is proposed using wavelet transform cognitively.•This algorithm overcomes the WPT’s disadvantage of needing to determine the level.•A wavelets selection method is designed using quantitative and qualitative approaches.•The first time the cathodic protection data is used for HVDC detection.•A wavelet-based application framework is designed to detect HVDC discharge.

论文关键词：High-voltage direct current,Wavelet transform,Wavelet energy,Detection and classification,Signal processing

论文评审过程：Received 8 June 2021, Revised 6 December 2021, Accepted 3 January 2022, Available online 21 January 2022, Version of Record 21 January 2022.

论文官网地址：https://doi.org/10.1016/j.ipm.2022.102867