Smart numerical technique for faults diagnosis based on a similarity algorithm experimentally investigated on AC machine stator windings 

Smart numerical technique for faults diagnosis based on a similarity algorithm experimentally investigated on AC machine stator windings | 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 Smart numerical technique for faults diagnosis based on a similarity algorithm experimentally investigated on AC machine stator windings R. A. Mahmoud This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5061447/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 Modern statistics are useful for setting up algorithms for digital protection and control systems. In this paper, a smart numerical technique based on a similarity algorithm is proposed for fault diagnosis in AC machine stator windings. The protection technique can detect online faults located on the three-phase stator windings, such as internal shunt and Turn-to-Turn Faults (TTTFs). The Pearson correlation-based algorithm amalgamates the functions of phase differential current and overcurrent relays into a single protection scheme. The method is investigated on a three-phase induction motor with 20 taps for each phase stator winding in order to facilitate managing extensive experimental tests to verify its effectiveness. The practical results exhibit the analysis and evaluation of the protection properties, revealing that the algorithm’s security and dependability rates are greater than 99%, and its reliability and accuracy percentages exceed 98%. Besides, the similarity approach provides a quick response, and a new configuration of relay operating characteristic curves is proposed. These curves can be used to consistently monitor TTTF and shunt faults, differentiate between internal and external shunt faults for the machine protection zone, specify the faulty phases, and classify different shunt faults located on the machine stator windings. Furthermore, the numerical method possesses the capability to ascertain the extent and intensity of disturbance and asymmetry in the three-phase machine currents, and to estimate the TTTF tripping time using a new design of correction-time curve. The comparative analysis demonstrates that this technique is significantly superior to other recently published techniques. AC machines Induction motors Shunt faults turn-to-turn faults fault diagnosis Current relays Pearson similarity Full Text Supplementary Files Supplementaryfile2.pdf Additionalexperimentaltests1.zip 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-5061447","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":435519844,"identity":"356541fe-3a81-4a59-890b-9a84218297a7","order_by":0,"name":"R. A. Mahmoud","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA80lEQVRIiWNgGAWjYFACHiBmg7IZG2wYGCRI1JJGupbDhLXotvce/FxQZmPPIH348YufO84n9s9uPviAocYmGpcWszPnkqVnnEtLbOBLM7PsPXM7ccadY8kGDMfSchtwabmRYyDN23Y4AehAMwPettuJDTdyzCSALsSnxfg3b9t/ewYe9m+Gf9vOJc4nQosZ0JYDjA08PMaPgYzEDQS1nDljZs1zLjkRqKWMWfZMsvHGG2nJBgn4/HK8x/g2T5kdyGGbP77dYSc770bywQcfamxwaoED+wMMbKAYcQSrTCCkHAqYP4C0Eql4FIyCUTAKRhAAALbbXO9sh+YZAAAAAElFTkSuQmCC","orcid":"","institution":"Misr University for Science and Technology (MUST), College of Engineering Science \u0026 Technology, Department of Electrical Power and Machines Engineering (PME)","correspondingAuthor":true,"prefix":"","firstName":"R.","middleName":"A.","lastName":"Mahmoud","suffix":""}],"badges":[],"createdAt":"2024-09-10 03:42:36","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-5061447/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5061447/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":79540851,"identity":"67b326c2-e81d-4b23-8cda-60b8c28ccac0","added_by":"auto","created_at":"2025-03-31 03:31:46","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2126248,"visible":true,"origin":"","legend":"","description":"","filename":"MainDocACmotorFaultdiagnosisSimilarityalgorithm30CleanCopy.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5061447/v1_covered_a5a11367-366d-4bee-82fb-e0977f740426.pdf"},{"id":79540508,"identity":"4c9e71a7-9501-44fc-b6ff-b80a103e8e16","added_by":"auto","created_at":"2025-03-31 03:23:45","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":596167,"visible":true,"origin":"","legend":"","description":"","filename":"Supplementaryfile2.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5061447/v1/5f44028d5b27b942a2c64c28.pdf"},{"id":79540510,"identity":"070978dc-ac7e-4619-9edc-b6f7c720996b","added_by":"auto","created_at":"2025-03-31 03:23:46","extension":"zip","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":51823277,"visible":true,"origin":"","legend":"","description":"","filename":"Additionalexperimentaltests1.zip","url":"https://assets-eu.researchsquare.com/files/rs-5061447/v1/999bbca0c753b3ea224a52b6.zip"}],"financialInterests":"","formattedTitle":"Smart numerical technique for faults diagnosis based on a similarity algorithm experimentally investigated on AC machine stator windings ","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"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":"AC machines, Induction motors, Shunt faults, turn-to-turn faults, fault diagnosis, Current relays, Pearson similarity","lastPublishedDoi":"10.21203/rs.3.rs-5061447/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5061447/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eModern statistics are useful for setting up algorithms for digital protection and control systems.\u003cstrong\u003e \u003c/strong\u003eIn this paper, a smart numerical technique based on a similarity algorithm is proposed for fault diagnosis in AC machine stator windings. The protection technique can detect online faults located on the three-phase stator windings, such as internal shunt and Turn-to-Turn Faults (TTTFs).\u003cstrong\u003e \u003c/strong\u003eThe Pearson correlation-based algorithm amalgamates the functions of phase differential current and overcurrent relays into a single protection scheme. The method is investigated on a three-phase induction motor with 20 taps for each phase stator winding in order to facilitate managing extensive experimental tests to verify its effectiveness. The practical results exhibit the analysis and evaluation of the protection properties, revealing that the algorithm’s security and dependability rates are greater than 99%, and its reliability and accuracy percentages exceed 98%. Besides, the similarity approach provides a quick response, and a new configuration of relay operating characteristic curves is proposed. These curves can be used to consistently monitor TTTF and shunt faults, differentiate between internal and external shunt faults for the machine protection zone, specify the faulty phases, and classify different shunt faults located on the machine stator windings. Furthermore, the numerical method possesses the capability to ascertain the extent and intensity of disturbance and asymmetry in the three-phase machine currents, and to estimate the TTTF tripping time using a new design of correction-time curve. The comparative analysis demonstrates that this technique is significantly superior to other recently published techniques.\u003c/p\u003e","manuscriptTitle":"Smart numerical technique for faults diagnosis based on a similarity algorithm experimentally investigated on AC machine stator windings ","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-03-31 03:23:33","doi":"10.21203/rs.3.rs-5061447/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","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}}],"origin":"","ownerIdentity":"bfef13f1-92f4-4865-aea5-17f534d77a4c","owner":[],"postedDate":"March 31st, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-04-05T07:10:10+00:00","versionOfRecord":[],"versionCreatedAt":"2025-03-31 03:23:33","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5061447","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5061447","identity":"rs-5061447","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}