Research on Wind Turbine Blade Modal Identification Method Using Joint Excitation-Response Multivariate Empirical Mode Decomposition

Research on Wind Turbine Blade Modal Identification Method Using Joint Excitation-Response Multivariate Empirical Mode Decomposition | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 5 September 2025 V1 Latest version Share on Research on Wind Turbine Blade Modal Identification Method Using Joint Excitation-Response Multivariate Empirical Mode Decomposition Authors : Han Xunjie 0009-0009-3235-0033 , Zhiying Gao [email protected] , Zhao feng , and Zhang Jiayuan Authors Info & Affiliations https://doi.org/10.22541/au.175707918.84519853/v1 157 views 99 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Blade modal testing is a primary approach for evaluating structural performance. To address the reduced accuracy of the Least Squares Complex Frequency-Domain (LSCF) method under non-stationary signals and noise interference, this study proposes an enhanced blade modal identification method with improved noise resistance. This method is based on Multivariate Empirical Mode Decomposition (MEMD) theory, which enables synchronous time-domain decomposition of excitation and response signals. Multiple static modal experiments conducted on the blade demonstrate that the proposed MEMD-based method, which incorporates joint excitation-response signals, achieves identification accuracy comparable to the LSCF method for flapwise blade modes, with frequency deviations consistently remaining below 1.5 Hz. Furthermore, under random noise conditions, deviations do not exceed 2 Hz, thereby validating the feasibility of this method for wind turbine blade modal identification. Supplementary Material File (figure11.opju) Download 26.02 KB File (research on wind turbine 9.4.docx) Download 1.44 MB Information & Authors Information Version history V1 Version 1 05 September 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords memd modal experiment natural frequency signal processing wind turbine blade Authors Affiliations Han Xunjie 0009-0009-3235-0033 Inner Mongolia University of Technology View all articles by this author Zhiying Gao [email protected] Inner Mongolia University of Technology View all articles by this author Zhao feng Inner Mongolia University of Technology View all articles by this author Zhang Jiayuan Inner Mongolia University of Technology View all articles by this author Metrics & Citations Metrics Article Usage 157 views 99 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Han Xunjie, Zhiying Gao, Zhao feng, et al. Research on Wind Turbine Blade Modal Identification Method Using Joint Excitation-Response Multivariate Empirical Mode Decomposition. Authorea . 05 September 2025. 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