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Sensors 2016, 16(6), 941; doi:10.3390/s16060941

An Ultrahigh Frequency Partial Discharge Signal De-Noising Method Based on a Generalized S-Transform and Module Time-Frequency Matrix

1
School of Electrical Engineering, Wuhan University, No. 299, Bayi Road, Wuhan 430072, China
2
Guangzhou Power Supply Bureau Co. Ltd., No. 38, Huangshidong Road, Guangzhou 510620, China
*
Author to whom correspondence should be addressed.
Academic Editors: Changzhi Li, Roberto Gómez-García and José-María Muñoz-Ferreras
Received: 18 May 2016 / Revised: 17 June 2016 / Accepted: 20 June 2016 / Published: 22 June 2016
(This article belongs to the Special Issue Non-Contact Sensing)
View Full-Text   |   Download PDF [4830 KB, uploaded 22 June 2016]   |  

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. View Full-Text
Keywords: ultrahigh frequency antenna sensor; partial discharge; signal de-noising; generalized S-transform; module time-frequency matrix; periodic narrowband noise; Gaussian white noise ultrahigh frequency antenna sensor; partial discharge; signal de-noising; generalized S-transform; module time-frequency matrix; periodic narrowband noise; Gaussian white noise
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Liu, Y.; Zhou, W.; Li, P.; Yang, S.; Tian, Y. An Ultrahigh Frequency Partial Discharge Signal De-Noising Method Based on a Generalized S-Transform and Module Time-Frequency Matrix. Sensors 2016, 16, 941.

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