Deep meta-learning-based multi-signal data fusion approach for fault diagnosis.
Saved in:
| Title: | Deep meta-learning-based multi-signal data fusion approach for fault diagnosis. |
|---|---|
| Authors: | Gültekin, Özgür1,2, ogultekin@ogu.edu.tr, Cinar, Eyup2,3, eyup.cinar@ogu.edu.tr |
| Source: | Journal of Intelligent Manufacturing; Apr2026, Vol. 37 Issue 4, p1551-1570, 20p |
| Database: | Applied Science & Technology Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 192844962 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Deep meta-learning-based multi-signal data fusion approach for fault diagnosis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Gültekin%2C+Özgür%22">Gültekin, Özgür</searchLink><relatesTo>1,2</relatesTo>, <i>ogultekin@ogu.edu.tr</i><br /><searchLink fieldCode="AU" term="%22Cinar%2C+Eyup%22">Cinar, Eyup</searchLink><relatesTo>2,3</relatesTo>, <i>eyup.cinar@ogu.edu.tr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+Manufacturing%22">Journal of Intelligent Manufacturing</searchLink>; Apr2026, Vol. 37 Issue 4, p1551-1570, 20p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192844962 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10845-025-02609-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1551 Titles: – TitleFull: Deep meta-learning-based multi-signal data fusion approach for fault diagnosis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gültekin, Özgür – PersonEntity: Name: NameFull: Cinar, Eyup IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 09565515 Numbering: – Type: volume Value: 37 – Type: issue Value: 4 Titles: – TitleFull: Journal of Intelligent Manufacturing Type: main |
| ResultId | 1 |