Abstract
Ensemble Empirical Mode DecompositionApproximate Entropy (EEMD-ApEn) is proposed in this paper, which is mainly analyzed the transient pulse and transient oscillation. In order to overcome the modal mixing problems by empirical mode decomposition (EMD), ensemble EMD (EEMD) is used to obtain intrinsic mode functions (IMFs). Then effective IMFs with physical meaning are reconstructed. Finally, the approximate entropy of IMFs and original signal are calculated which are used to be the input feature vectors of the SVM classifier. The stimulant results show that EEMD-ApEn has better performance in detection and classification of transient pulse, transient oscillation, their noisy signal and the composite disturbance signals. The novel method has many advantages, such as simple, strong anti-noise, required fewer features and so on. Therefore the EEMD-ApEn is an effective method for power quality detection and feature vectors extraction.
Sign-in/Register to access full text options 
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.
