Research on Measurement Technology of Optical Fiber Angle Sensor Based on MEA-BP

Research on Measurement Technology of Optical Fiber Angle Sensor Based on MEA-BP | 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 Research on Measurement Technology of Optical Fiber Angle Sensor Based on MEA-BP Wang Lisha, Zhang Jing, Wan Pu, Liu Yinxu, Yang Desheng, Li Xin This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8239769/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 11 Apr, 2026 Read the published version in Scientific Reports → Version 1 posted 10 You are reading this latest preprint version Abstract High-voltage disconnectors operate under strong electromagnetic radiation for long periods, making it prone to incomplete opening and closing. Current electronic sensors used to detect their status are susceptible to electromagnetic interference, leading to inaccurate measurement data. Therefore, based on the rotation characteristics of the moving contact during opening and closing, a method for measuring rotation angles in a straight line is proposed. A fiber optic angle sensor is designed according to the characteristics of reflective fiber optics to measure the rotation angle of disconnectors. The Mean Evolution Algorithm (MEA) is used to optimize the BP neural network model (MEA-BP) to compensate for the nonlinearity of the designed fiber optic angle sensor. Through experimental simulations, the nonlinearity compensation effect of the MEA-BP model is compared with that of the traditional BP neural network. The mean square error of nonlinearity compensation decreases from 0.0916 to 0.0211, and the fitting accuracy improves from 83.57% to 95.06%. The linear error decreases from 6.85% to 0.81%. An experimental platform using SBE27.5kV/2000A disconnectors as the research object is established to test the accuracy of the fiber optic angle sensor. The experimental results show that the accuracy of the fiber optic angle sensor improves from 8.043% to 0.781% after nonlinearity compensation, indicating that this solution has higher accuracy and stronger feasibility. Physical sciences/Engineering Physical sciences/Optics and photonics high-voltage disconnector fiber optic sensor evolutionary algorithm BP neural network nonlinear compensation Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 11 Apr, 2026 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 13 Jan, 2026 Reviews received at journal 10 Jan, 2026 Reviewers agreed at journal 03 Jan, 2026 Reviews received at journal 24 Dec, 2025 Reviewers agreed at journal 15 Dec, 2025 Reviewers invited by journal 10 Dec, 2025 Editor assigned by journal 10 Dec, 2025 Editor invited by journal 08 Dec, 2025 Submission checks completed at journal 06 Dec, 2025 First submitted to journal 06 Dec, 2025 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. 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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-8239769","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":560849567,"identity":"aa9dffe3-b993-41d2-906d-b9cb2aacd26e","order_by":0,"name":"Wang Lisha","email":"","orcid":"","institution":"Zhaotong University","correspondingAuthor":false,"prefix":"","firstName":"Wang","middleName":"","lastName":"Lisha","suffix":""},{"id":560849573,"identity":"42f273c0-0cfc-4ee0-be05-3084d0bd1c7b","order_by":1,"name":"Zhang 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MEA-BP","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":"high-voltage disconnector, fiber optic sensor, evolutionary algorithm, BP neural network, nonlinear compensation","lastPublishedDoi":"10.21203/rs.3.rs-8239769/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8239769/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eHigh-voltage disconnectors operate under strong electromagnetic radiation for long periods, making it prone to incomplete opening and closing. Current electronic sensors used to detect their status are susceptible to electromagnetic interference, leading to inaccurate measurement data. Therefore, based on the rotation characteristics of the moving contact during opening and closing, a method for measuring rotation angles in a straight line is proposed. A fiber optic angle sensor is designed according to the characteristics of reflective fiber optics to measure the rotation angle of disconnectors. The Mean Evolution Algorithm (MEA) is used to optimize the BP neural network model (MEA-BP) to compensate for the nonlinearity of the designed fiber optic angle sensor. Through experimental simulations, the nonlinearity compensation effect of the MEA-BP model is compared with that of the traditional BP neural network. The mean square error of nonlinearity compensation decreases from 0.0916 to 0.0211, and the fitting accuracy improves from 83.57% to 95.06%. The linear error decreases from 6.85% to 0.81%. An experimental platform using SBE27.5kV/2000A disconnectors as the research object is established to test the accuracy of the fiber optic angle sensor. The experimental results show that the accuracy of the fiber optic angle sensor improves from 8.043% to 0.781% after nonlinearity compensation, indicating that this solution has higher accuracy and stronger feasibility.\u003c/p\u003e","manuscriptTitle":"Research on Measurement Technology of Optical Fiber Angle Sensor Based on MEA-BP","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-12-16 14:01:23","doi":"10.21203/rs.3.rs-8239769/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2026-01-13T20:02:16+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-01-10T11:49:32+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"65602279261204983805473786156469305670","date":"2026-01-03T19:20:57+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-12-25T01:23:10+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"270619998815834226326073507474288404389","date":"2025-12-15T23:32:46+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-12-10T19:13:07+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-12-10T18:57:43+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2025-12-08T10:02:52+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-12-06T07:23:52+00:00","index":"","fulltext":""},{"type":"submitted","content":"Scientific Reports","date":"2025-12-06T07:17:21+00:00","index":"","fulltext":""}],"status":"published","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}}],"origin":"","ownerIdentity":"4d647de0-811d-42eb-8654-0844cddc739e","owner":[],"postedDate":"December 16th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[{"id":59711198,"name":"Physical sciences/Engineering"},{"id":59711199,"name":"Physical sciences/Optics and photonics"}],"tags":[],"updatedAt":"2026-04-13T16:09:02+00:00","versionOfRecord":{"articleIdentity":"rs-8239769","link":"https://doi.org/10.1038/s41598-026-48008-1","journal":{"identity":"scientific-reports","isVorOnly":false,"title":"Scientific Reports"},"publishedOn":"2026-04-11 15:58:28","publishedOnDateReadable":"April 11th, 2026"},"versionCreatedAt":"2025-12-16 14:01:23","video":"","vorDoi":"10.1038/s41598-026-48008-1","vorDoiUrl":"https://doi.org/10.1038/s41598-026-48008-1","workflowStages":[]},"version":"v1","identity":"rs-8239769","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8239769","identity":"rs-8239769","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}