Skip navigation
Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/58547
Full metadata record
DC FieldValueLanguage
dc.contributor.authorQingbo Wu-
dc.contributor.authorQingwei Gao-
dc.contributor.authorYixiang Lu-
dc.contributor.authorDe Zhu-
dc.contributor.authorDong Sun-
dc.contributor.authorDawei Zhao-
dc.contributor.authorSiyuan Peng-
dc.contributor.authorDavydau, M.-
dc.coverage.spatialUSAen_US
dc.date.accessioned2024-12-23T09:42:48Z-
dc.date.available2024-12-23T09:42:48Z-
dc.date.issued2024-
dc.identifier.citationIncipient Fault Diagnosis Method via Joint Adaptive Signal Decomposition / Qingbo Wu, Qingwei Gao, Yixiang Lu [et al.] // IEEE Sensors Journal. ‒ 2024. ‒ Vol. 24, no. 15. ‒ P. 24308-24318en_US
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/58547-
dc.description.abstractIdentification and diagnosis of the incipient fault in electromechanical systems is a challenging task due to its weakness and concealment of magnitude. The one-step signal decomposition method has more or less the problem of losing fault feature information because of over or under-decomposition issues. In this article, a novel diagnosis method is proposed for incipient fault identification via a new algorithm called joint adaptive signal decomposition (JASD). The joint algorithm benefits from the narrow-band signal decomposition superiority of variational mode decomposition (VMD) and the nonstationary signal processing ability of adaptive chirp mode decomposition (ACMD), which greatly enhances the capacity to extract the incipient fault components from vibration signal. Meanwhile, a new index called Integration Kurtosis which covers comprehensive feature of the fault is designed to achieve synchronous parameters optimization of the joint algorithm. In the diagnosis scheme, the parameter-optimized VMD is first utilized to reconstruct the original signal by selecting the most relevant modes, and the secondary decomposition of the new signal is conducted by the parameter-optimized ACMD. Then, the feature of the incipient fault can be extracted sufficiently by analyzing the envelope spectrum of the decomposed sub-component modes. Finally, both numerical simulations and real signal experimental results validate the effectiveness and reliability of the proposed JASD fault diagnosis method.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.subjectпубликации ученыхen_US
dc.subjectadaptive chirp mode decompositionen_US
dc.subjectfault diagnosisen_US
dc.subjectfeature extractionen_US
dc.subjectincipient faulten_US
dc.subjectjoint adaptive signal decompositionen_US
dc.subjectmechatronic systemen_US
dc.subjectsignal decompositionen_US
dc.subjectvariational mode decompositionen_US
dc.titleIncipient Fault Diagnosis Method via Joint Adaptive Signal Decompositionen_US
dc.typeArticleen_US
dc.identifier.DOIdoi: 10.1109/JSEN.2024.3414299-
Appears in Collections:Публикации в зарубежных изданиях

Files in This Item:
File Description SizeFormat 
Qingbo_Wu_Incipient.pdf96.47 kBAdobe PDFView/Open
Show simple item record Google Scholar

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.