title: An Ultrahigh Frequency Partial Discharge Signal De-Noising Method Based on a Generalized S-Transform and Module Time-Frequency Matrix.
abstract: Due to electromagnetic interference in power substations, the partial discharge (PD) signals detected by ultrahigh frequency (UHF) antenna sensors often contain various background noises, which may hamper high voltage apparatus fault diagnosis and localization. This paper proposes a novel de-noising method based on the generalized S-transform and module time-frequency matrix to suppress noise in UHF PD signals. The sub-matrix maximum module value method is employed to calculate the frequencies and amplitudes of periodic narrowband noise, and suppress noise through the reverse phase cancellation technique. In addition, a singular value decomposition de-noising method is employed to suppress Gaussian white noise in UHF PD signals. Effective singular values are selected by employing the fuzzy c-means clustering method to recover the PD signals. De-noising results of simulated and field detected UHF PD signals prove the feasibility of the proposed method. Compared with four conventional de-noising methods, the results show that the proposed method can suppress background noise in the UHF PD signal effectively, with higher signal-to-noise ratio and less waveform distortion.
authors.affiliation: School of Electrical Engineering, Wuhan University, No. 299, Bayi Road, Wuhan 430072, China. silencelys@126.com.
authors.forename: Yushun
authors.initials: Y
authors.lastname: Liu
authors.affiliation: School of Electrical Engineering, Wuhan University, No. 299, Bayi Road, Wuhan 430072, China. wjzhou@whu.edu.cn.
authors.forename: Wenjun
authors.initials: W
authors.lastname: Zhou
authors.affiliation: School of Electrical Engineering, Wuhan University, No. 299, Bayi Road, Wuhan 430072, China. pengfei9966@126.com.
authors.forename: Pengfei
authors.initials: P
authors.lastname: Li
authors.affiliation: School of Electrical Engineering, Wuhan University, No. 299, Bayi Road, Wuhan 430072, China. ys3254@163.com.
authors.forename: Shuai
authors.initials: S
authors.lastname: Yang
authors.affiliation: Guangzhou Power Supply Bureau Co. Ltd., No. 38, Huangshidong Road, Guangzhou 510620, China. babyyan22@163.com.
authors.forename: Yan
authors.initials: Y
authors.lastname: Tian
keywords: Gaussian white noise; generalized S-transform; module time-frequency matrix; partial discharge; periodic narrowband noise; signal de-noising; ultrahigh frequency antenna sensor