Clustered ensemble empirical mode decomposition (EMD) and its application to windturbine noise and co-seismic landslide-induced ground motion

Chih Yu Kuo, Pi Wen Tsai, Shao Kuan Wei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Clustered ensemble empirical mode decomposition (EEMD) is proposed to resolve the multimode problem of EEMD. EEMD is a noise-assisted data analysis method which is used to decompose signals into a collection of intrinsic mode functions (IMFs). The multi-mode problem of the method is referred to that signals with a similar time scale are decomposed into different IMF components and form an over-complete set of IMFs and the occurrence of this problem may lead to mis-interpretation of the signals. The solution to this problem is to recombine the multi-mode IMF components into a proper single IMF. Instead of the previous heuristic manual approach, we incorporate a statistical clustering analysis to assist the diagnosis of multi-mode IMFs and to guide the recombination of the multi-modes based on the classified clusters. As a result, signals are reorganized into a condensed set of clustered intrinsic mode functions (CIMFs). The method is first examined using an artificially synthesized signal and is shown that the multi-mode problem can be largely eliminated in a statistically reliable manner. Then the method is applied to two sets of practical signals: wind turbine noise and co-seismic landslide-induced ground motion. For the former, three CIMFs are found to be associated with noise generation mechanisms. For the latter, the first non-Gaussian CIMF is closely related to the landslide fracture induced ground motion.

Original languageEnglish
Title of host publication22nd International Congress on Sound and Vibration, ICSV 2015
PublisherInternational Institute of Acoustics and Vibrations
ISBN (Electronic)9788888942483
Publication statusPublished - 2015 Jan 1
Externally publishedYes
Event22nd International Congress on Sound and Vibration, ICSV 2015 - Florence, Italy
Duration: 2015 Jul 122015 Jul 16

Publication series

Name22nd International Congress on Sound and Vibration, ICSV 2015

Conference

Conference22nd International Congress on Sound and Vibration, ICSV 2015
CountryItaly
CityFlorence
Period15/7/1215/7/16

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ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Cite this

Kuo, C. Y., Tsai, P. W., & Wei, S. K. (2015). Clustered ensemble empirical mode decomposition (EMD) and its application to windturbine noise and co-seismic landslide-induced ground motion. In 22nd International Congress on Sound and Vibration, ICSV 2015 (22nd International Congress on Sound and Vibration, ICSV 2015). International Institute of Acoustics and Vibrations.