Complex fault diagnosis in wind turbine bearings: a hybrid approach combining the improved feature mode decomposition and convolutional neural networks.
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| Title: | Complex fault diagnosis in wind turbine bearings: a hybrid approach combining the improved feature mode decomposition and convolutional neural networks. |
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| Authors: | Yongbin Du1, duyongbinl@163.com, Hengyu Wang1, 1461918620@qq.com, Yuanhai Zhao1, zhaoyuanhai0@163.com, Kunwang Sun1, 1911657287@qq.com, Yi Zhang1, 2609700915@qq.com |
| Source: | Journal of Vibroengineering; Sep2025, Vol. 27 Issue 6, p941-956, 16p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 188590455 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Complex fault diagnosis in wind turbine bearings: a hybrid approach combining the improved feature mode decomposition and convolutional neural networks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Yongbin+Du%22">Yongbin Du</searchLink><relatesTo>1</relatesTo>, <i>duyongbinl@163.com</i><br /><searchLink fieldCode="AU" term="%22Hengyu+Wang%22">Hengyu Wang</searchLink><relatesTo>1</relatesTo>, <i>1461918620@qq.com</i><br /><searchLink fieldCode="AU" term="%22Yuanhai+Zhao%22">Yuanhai Zhao</searchLink><relatesTo>1</relatesTo>, <i>zhaoyuanhai0@163.com</i><br /><searchLink fieldCode="AU" term="%22Kunwang+Sun%22">Kunwang Sun</searchLink><relatesTo>1</relatesTo>, <i>1911657287@qq.com</i><br /><searchLink fieldCode="AU" term="%22Yi+Zhang%22">Yi Zhang</searchLink><relatesTo>1</relatesTo>, <i>2609700915@qq.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Vibroengineering%22">Journal of Vibroengineering</searchLink>; Sep2025, Vol. 27 Issue 6, p941-956, 16p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188590455 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.21595/jve.2025.24974 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 941 Titles: – TitleFull: Complex fault diagnosis in wind turbine bearings: a hybrid approach combining the improved feature mode decomposition and convolutional neural networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yongbin Du – PersonEntity: Name: NameFull: Hengyu Wang – PersonEntity: Name: NameFull: Yuanhai Zhao – PersonEntity: Name: NameFull: Kunwang Sun – PersonEntity: Name: NameFull: Yi Zhang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13928716 Numbering: – Type: volume Value: 27 – Type: issue Value: 6 Titles: – TitleFull: Journal of Vibroengineering Type: main |
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