Denoising of Blasting Vibration Signals Based on CEEMDAN- ICA Algorithm

Denoising of Blasting Vibration Signals Based on CEEMDAN- ICA Algorithm | 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 Article Denoising of Blasting Vibration Signals Based on CEEMDAN- ICA Algorithm Wenjun Bai, Yingjie Chang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3278854/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 27 Nov, 2023 Read the published version in Scientific Reports → Version 1 posted 8 You are reading this latest preprint version Abstract Monitoring of blasting vibration signals can make the collected blasting signals noisy due to various factors such as on-site actual construction conditions, equipment, and instruments. Thus, the acquired signals should be preprocessed before analyzing the blasting vibration signals. The current study proposes a blasting vibration denoising method based on CEEMDAN-ICA to alleviate the noise component in the blasting signals effectively. The collected signal is first decomposed through the CEMMDAN algorithm to extract the IMF components of different frequency bands. Next, the collected signal is estimated using the ICA algorithm to attain corresponding ICA components. Finally, the arrangement entropy of the ICA components is calculated for signal reconstruction to attain a noise-free blasting vibration signal. Simulations are performed to evaluate the feasibility of the presented algorithm and compare its efficiency with the traditional algorithms. The results demonstrate that this algorithm has specific advantages over other algorithms, which can more accurately denoise the original signal and retain the effective signals, providing a new denoising method for subsequent signal analysis. Physical sciences/Engineering/Civil engineering Physical sciences/Physics/Techniques and instrumentation Blasting vibration signal Signal processing CEEMDAN-ICA Noise analysis Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 27 Nov, 2023 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Major revision 24 Sep, 2023 Reviews received at journal 13 Sep, 2023 Reviewers agreed at journal 21 Aug, 2023 Reviewers invited by journal 21 Aug, 2023 Editor assigned by journal 21 Aug, 2023 Editor invited by journal 21 Aug, 2023 Submission checks completed at journal 21 Aug, 2023 First submitted to journal 19 Aug, 2023 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. 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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-3278854","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":227791238,"identity":"e2cbd78c-d263-41ab-bfe8-8e674ba97d70","order_by":0,"name":"Wenjun Bai","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA40lEQVRIiWNgGAWjYBACexDxwICBwYCBsfFBQkUNYS2GDUAiAaKl2eDBmWOEtRgcAGkBMRgY2CQftjAToeX48ccfEgru2G1nP9xWkdjAxsDf3p2AX8uZhASDBINnyTt7EttuJO6QYZA4c3YDAYclHABqOpxscACk5Qwbg4FELgEt5x82HABrOf+wrSCxjZkILTeSGRuAWuwMbiS2MRClxXDGM2ZgIB9OsJzxsFki4cwxHoJ+sedPf/zhw5/D9ub86Q8//qiokeNv78WvBQYSG6AMHqKUg20jWuUoGAWjYBSMPAAAEQlSx8HiLCkAAAAASUVORK5CYII=","orcid":"","institution":"Shaanxi Provincial Land Engineering Construction Group (China)","correspondingAuthor":true,"prefix":"","firstName":"Wenjun","middleName":"","lastName":"Bai","suffix":""},{"id":227791239,"identity":"4101ef22-a4fd-4f07-8dfa-c9de32b778eb","order_by":1,"name":"Yingjie Chang","email":"","orcid":"","institution":"Shaanxi Provincial Land Engineering Construction Group (China)","correspondingAuthor":false,"prefix":"","firstName":"Yingjie","middleName":"","lastName":"Chang","suffix":""}],"badges":[],"createdAt":"2023-08-20 03:44:12","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3278854/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3278854/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1038/s41598-023-47755-9","type":"published","date":"2023-11-27T15:01:19+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":47561491,"identity":"66b7dc21-a73b-404b-9a83-8d60364c336e","added_by":"auto","created_at":"2023-12-04 15:11:56","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1266070,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3278854/v1_covered_2a019981-a09a-45dd-9f0f-1f7eb30b2862.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Denoising of Blasting Vibration Signals Based on CEEMDAN- ICA Algorithm","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Blasting vibration signal, Signal processing, CEEMDAN-ICA, Noise analysis","lastPublishedDoi":"10.21203/rs.3.rs-3278854/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3278854/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eMonitoring of blasting vibration signals can make the collected blasting signals noisy due to various factors such as on-site actual construction conditions, equipment, and instruments. 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