Fault diagnosis of rolling bearing based on acousto-vibration signal fusion

Fault diagnosis of rolling bearing based on acousto-vibration signal fusion | 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 Fault diagnosis of rolling bearing based on acousto-vibration signal fusion Qiang Fu, xueliang yi, yanchen lai, hong chen, quankai ou This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5329021/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 Typically, accelerometers need to be installed in multiple directions simultaneously to enhance the accuracy of bea-ring fault diagnosis.However, due to certain environmental constraints, it is sometimes Impractical to install accelerometers in multiple directions simultaneously. In contrast, acoustic sensors can overcome the limitations of contact-based measurements but are more susceptible to interference from environmental noise.To address this issue, a novel method for fault diagnosis of rolling bearings that integrates both acoustic and vibration signals is proposed. First, a 2D convolutional fusion layer is employed to process the two types of signals, achieving an initial fusion of the different signals. Secondly, to effectively extract sound-vibration fusion features, a multi-scale CNN-GRU module is introduced to enhance the method's ability to capture features at different scales. Finally, a model pre-training-based transfer learning strategy is used, achieving high performance in experi-ments with an average accuracy exceeding 90%. Rolling Bearings Fault Diagnosis Acoustic and Vibration Fusion Multi-Scale Transfer Learning 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-5329021","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":370438638,"identity":"b374c1a0-2a15-471b-aa23-936181e825d5","order_by":0,"name":"Qiang Fu","email":"","orcid":"","institution":"Changsha University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Qiang","middleName":"","lastName":"Fu","suffix":""},{"id":370438639,"identity":"676500dc-ae99-4034-986b-d162d8d98239","order_by":1,"name":"xueliang yi","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0ElEQVRIiWNgGAWjYBACfoYDiQ8+GNgw87M3HyBOi2TjgceGMwrS2CV7jiUQp8Xg8MFnwjwfDvMbzPAxINJlxw6nMc4wSJM2kOD5eOMNg52cbgMBHYw9x9JAfjE2l+7dbDmHIdnY7AABLcwSZ9INgbYkW845u02aBxgY2whpYZN//02ax+Bw/YYbOc+I0wJUlAbSwmxwI4eNOC0SDAeSQQ5jBgayseUcAyL8Yn8AFJV/wFH58MabCjs5glpQreQhNmqQtJCqYxSMglEwCkYEAABeskj72fjxqgAAAABJRU5ErkJggg==","orcid":"","institution":"Changsha University of Science and Technology","correspondingAuthor":true,"prefix":"","firstName":"xueliang","middleName":"","lastName":"yi","suffix":""},{"id":370438640,"identity":"00e83fd4-9890-475f-8d5c-8a7045e60f93","order_by":2,"name":"yanchen lai","email":"","orcid":"","institution":"Changsha University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"yanchen","middleName":"","lastName":"lai","suffix":""},{"id":370438641,"identity":"4cdb0f35-8516-4b1c-be68-afa702367a09","order_by":3,"name":"hong chen","email":"","orcid":"","institution":"Changsha University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"hong","middleName":"","lastName":"chen","suffix":""},{"id":370438642,"identity":"5184a75f-48fd-42ad-8368-154f80358d11","order_by":4,"name":"quankai ou","email":"","orcid":"","institution":"Changsha University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"quankai","middleName":"","lastName":"ou","suffix":""}],"badges":[],"createdAt":"2024-10-25 02:53:09","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5329021/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5329021/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":67894938,"identity":"5dc35fc7-a035-4cff-a94a-0bc832e1a8e1","added_by":"auto","created_at":"2024-10-30 22:31:31","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":623078,"visible":true,"origin":"","legend":"","description":"","filename":"Faultdiagnosisofrollingbearingbasedonacoustovibrationsignalfusion.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5329021/v1_covered_48cce1ef-860f-45a3-a938-edde647816fc.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Fault diagnosis of rolling bearing based on acousto-vibration signal fusion","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Rolling Bearings, Fault Diagnosis, Acoustic and Vibration Fusion, Multi-Scale, Transfer Learning","lastPublishedDoi":"10.21203/rs.3.rs-5329021/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5329021/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eTypically, accelerometers need to be installed in multiple directions simultaneously to enhance the accuracy of bea-ring fault diagnosis.However, due to certain environmental constraints, it is sometimes Impractical to install accelerometers in multiple directions simultaneously. 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