Abstract
In a power system, the analysis of transient signals is the theoretical basis of fault diagnosis and transient protection theory. Shannon wavelet entropy (SWE) and Shannon wavelet packet entropy (SWPE) are powerful mathematics tools for transient signal analysis. Combined with the recent achievements regarding SWE and SWPE, their applications are summarized in feature extraction of transient signals and transient fault recognition. For wavelet aliasing at adjacent scale of wavelet decomposition, the impact of wavelet aliasing is analyzed for feature extraction accuracy of SWE and SWPE, and their differences are compared. Meanwhile, the analyses mentioned are verified by partial discharge (PD) feature extraction of power cable. Finally, some new ideas and further researches are proposed in the wavelet entropy mechanism, operation speed and how to overcome wavelet aliasing.
Highlights
The identifying and processing of transient signals are the basis for operation monitoring, fault diagnosis and power quality analysis in a power system, which provide technical support for rely protection [1,2,3]
With the development of wavelet theory and entropy statistical theory, thanks to the fast development of high-speed A/D and DSP technology, Shannon wavelet entropy (SWE) and Shannon wavelet packet entropy (SWPE) are widely applied to the analysis and processing of transient signals in a power system, and their advantages have been unfolded
On the other hand, based on the advantages of wavelet theory and wavelet packet theory, they combine with entropy theory, which is developed toward practical direction [10,11,12]
Summary
The identifying and processing of transient signals are the basis for operation monitoring, fault diagnosis and power quality analysis in a power system, which provide technical support for rely protection [1,2,3]. The Fourier transform is invalid in analysis of non-stationary fault signals [7]. With the development of wavelet theory and entropy statistical theory, thanks to the fast development of high-speed A/D and DSP technology, SWE and SWPE are widely applied to the analysis and processing of transient signals in a power system, and their advantages have been unfolded. Wavelet theory and wavelet packet theory are gradually improved and developed, and researches of algorithm structure and fast algorithm are deepened [8,9]. From the recent achievements about SWE and SWPE in analysis of transient signals in a power system, their applications are summarized in feature extraction of transient signals and transient fault recognition.
Sign-in/Register to view highlights & summary 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 callDisclaimer: 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.
