{"paper_id":"0f35ff32-99ca-4237-8b30-cf1118239c62","body_text":"Improved CVMD method applied to partial discharge signal | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Improved CVMD method applied to partial discharge signal qi an, peixuan li, guoqing an, dongsheng liu, su wang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5774311/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Partial discharge signals are often interfered by white noise and narrowband noise, which makes it difficult to locate the partial discharge source. To tackle this intricate issue, this paper proposes an improved variational Mode Decomposition (VMD) noise reduction method. Initially, the method optimizes the VMD by employing the Crested Porcupine Optimizer (CPO). Subsequently, modal screening is carried out in accordance with a specific criterion. Finally, noise reduction is implemented through an improved 3σ method. Via noise - reduction simulation experiments, the superiority of this method is validated, and comparisons are made with several other methods, wherein this method is capable of boosting the Signal - to - Noise Ratio (SNR) by up to 50, elevating the correlation coefficient to over 0.99, and reducing the Mean Squared Error (MSE) by 99%. Meanwhile, the practicality of this method is confirmed through localization experiments. Partial discharge VMD 3σ method Localization of partial discharge Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {\"props\":{\"pageProps\":{\"initialData\":{\"identity\":\"rs-5774311\",\"acceptedTermsAndConditions\":true,\"allowDirectSubmit\":true,\"archivedVersions\":[],\"articleType\":\"Research Article\",\"associatedPublications\":[],\"authors\":[{\"id\":398951807,\"identity\":\"72c1c88f-31cd-4771-95af-9aade15d5b05\",\"order_by\":0,\"name\":\"qi an\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Hebei University of Science and Technology\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"qi\",\"middleName\":\"\",\"lastName\":\"an\",\"suffix\":\"\"},{\"id\":398951808,\"identity\":\"bfe2f587-454a-45fb-b9d5-7cbbdd4b7e9b\",\"order_by\":1,\"name\":\"peixuan 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