Remaining useful life prediction of ultrasonic motor based on nonlinear stochastic degradation process | 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 Remaining useful life prediction of ultrasonic motor based on nonlinear stochastic degradation process Yuepeng Gao, Zhiyuan Yao, Lin Yang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4444502/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 12 Apr, 2025 Read the published version in Nonlinear Dynamics → Version 1 posted 10 You are reading this latest preprint version Abstract In this paper, the useful life prediction of traveling wave ultrasonic motor is taken as the research object to explore the estimation method of motor life and analyze the main mechanisms affecting the life of motors. The degradation pattern of motor performance is stochastic and nonlinear, and two modes of remaining useful life prediction models were established based on Wiener process theory. The parameters of the model were estimated based on Maximum Likelihood Estimation and multidimensional search optimization method. The performance of each degradation model was evaluated by introducing Akai Information Criterion and error evaluation method. Through the construction of an ultrasonic motor life test system and the life test, experimental data that can reflect the degradation of motor performance were obtained. The feasibility of the proposed method was verified using simulated signals and experimental datasets of motors. Compared with the existing methods on remaining useful life prediction, the modeling approach proposed has its uniqueness and superiority. Ultrasonic motor remaining useful life Wiener Process Degradation pattern Parameter estimation. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 12 Apr, 2025 Read the published version in Nonlinear Dynamics → Version 1 posted Editorial decision: Revision requested 23 Feb, 2025 Reviews received at journal 21 Feb, 2025 Reviewers agreed at journal 20 Feb, 2025 Reviews received at journal 03 Dec, 2024 Reviewers agreed at journal 02 Dec, 2024 Reviewers agreed at journal 02 Dec, 2024 Reviewers invited by journal 16 Jun, 2024 Editor assigned by journal 21 May, 2024 Submission checks completed at journal 21 May, 2024 First submitted to journal 19 May, 2024 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-4444502","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":309256429,"identity":"4510c8c4-568d-4452-a429-839e3b18b32f","order_by":0,"name":"Yuepeng Gao","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyklEQVRIiWNgGAWjYPACGyjNRryWNNK1HCZBi8HtBuYXPyrO5xkcP/yA4UPZYQb+2Q0EtNw5wGbZc+Z2scGZNAPGGecOM0jcOUBAy40ENgPettuJGw4kGDDzth1mMJBIIKzF8G/bucQN559/YP5LpBbmx7xtBxI33MgxYGYkRosk0C/MMmeSE2feeFNwsOdcOo/EDQJa+IAh9vFNhV1i3/n0jQ9+lFnL8c8goIVBgv+bBIx9AIh5CKgHaWFg/kBY1SgYBaNgFIxoAAAfhUhuT0g9zAAAAABJRU5ErkJggg==","orcid":"","institution":"Nanjing University of Aeronautics and Astronautics","correspondingAuthor":true,"prefix":"","firstName":"Yuepeng","middleName":"","lastName":"Gao","suffix":""},{"id":309256430,"identity":"e454e16b-8b9a-4ffe-8994-bc9a788300ec","order_by":1,"name":"Zhiyuan Yao","email":"","orcid":"","institution":"Nanjing University of Aeronautics and Astronautics","correspondingAuthor":false,"prefix":"","firstName":"Zhiyuan","middleName":"","lastName":"Yao","suffix":""},{"id":309256431,"identity":"3681dd41-4802-4089-b02c-518701673405","order_by":2,"name":"Lin Yang","email":"","orcid":"","institution":"Nanjing University of Aeronautics and Astronautics","correspondingAuthor":false,"prefix":"","firstName":"Lin","middleName":"","lastName":"Yang","suffix":""}],"badges":[],"createdAt":"2024-05-19 13:38:52","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4444502/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4444502/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s11071-025-11083-6","type":"published","date":"2025-04-12T16:05:14+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":80558918,"identity":"9d01193d-f7ee-4c2b-baaa-31ddbc58ee9d","added_by":"auto","created_at":"2025-04-14 16:16:57","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1517233,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4444502/v1_covered_203fa845-408c-42e8-8205-bad344accc16.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Remaining useful life prediction of ultrasonic motor based on nonlinear stochastic degradation process","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":"nonlinear-dynamics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"nody","sideBox":"Learn more about [Nonlinear Dynamics](https://www.springer.com/journal/11071)","snPcode":"11071","submissionUrl":"https://submission.nature.com/new-submission/11071/3","title":"Nonlinear Dynamics","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Ultrasonic motor, remaining useful life, Wiener Process, Degradation pattern, Parameter estimation.","lastPublishedDoi":"10.21203/rs.3.rs-4444502/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4444502/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIn this paper, the useful life prediction of traveling wave ultrasonic motor is taken as the research object to explore the estimation method of motor life and analyze the main mechanisms affecting the life of motors. The degradation pattern of motor performance is stochastic and nonlinear, and two modes of remaining useful life prediction models were established based on Wiener process theory. The parameters of the model were estimated based on Maximum Likelihood Estimation and multidimensional search optimization method. The performance of each degradation model was evaluated by introducing Akai Information Criterion and error evaluation method. Through the construction of an ultrasonic motor life test system and the life test, experimental data that can reflect the degradation of motor performance were obtained. The feasibility of the proposed method was verified using simulated signals and experimental datasets of motors. Compared with the existing methods on remaining useful life prediction, the modeling approach proposed has its uniqueness and superiority.\u003c/p\u003e","manuscriptTitle":"Remaining useful life prediction of ultrasonic motor based on nonlinear stochastic degradation process","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-06-03 02:47:50","doi":"10.21203/rs.3.rs-4444502/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-02-23T18:07:22+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-02-21T11:51:21+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"251425805016636677239727141567681950069","date":"2025-02-20T15:11:36+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-12-04T03:37:45+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"281040576586358580747274523047285865600","date":"2024-12-03T04:35:56+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"87504938504732342155430089132362501894","date":"2024-12-02T15:12:21+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-06-16T15:29:18+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-05-21T23:58:24+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-05-21T19:48:35+00:00","index":"","fulltext":""},{"type":"submitted","content":"Nonlinear Dynamics","date":"2024-05-19T13:27:36+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"
[email protected]","identity":"nonlinear-dynamics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"nody","sideBox":"Learn more about [Nonlinear Dynamics](https://www.springer.com/journal/11071)","snPcode":"11071","submissionUrl":"https://submission.nature.com/new-submission/11071/3","title":"Nonlinear Dynamics","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"48f53afe-8ae7-43b9-b6b5-2cd671745c44","owner":[],"postedDate":"June 3rd, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-04-14T16:12:10+00:00","versionOfRecord":{"articleIdentity":"rs-4444502","link":"https://doi.org/10.1007/s11071-025-11083-6","journal":{"identity":"nonlinear-dynamics","isVorOnly":false,"title":"Nonlinear Dynamics"},"publishedOn":"2025-04-12 16:05:14","publishedOnDateReadable":"April 12th, 2025"},"versionCreatedAt":"2024-06-03 02:47:50","video":"","vorDoi":"10.1007/s11071-025-11083-6","vorDoiUrl":"https://doi.org/10.1007/s11071-025-11083-6","workflowStages":[]},"version":"v1","identity":"rs-4444502","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4444502","identity":"rs-4444502","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.