Abstract

Different high-voltage cable fault can cause multiple high-frequency signal characterization. Effectively getting features of the signal can recognize Partial Discharge (PD) with the effect of de-noising and dimension reduction. In this paper, we first proceed to analyze signal based on dual-tree complex wavelet transform. Then we extract singularity signal by Singular value decomposition(SVD). To accomplish getting and recognizing features of PD, we set maximum singular value, average singular value and information entropy as characteristic quantity to analyze its distribution. The simulation results show that this method is feasible.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.