A fuzzy-neuro approach to predictive maintenance using vibration signature classification.
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| Title: | A fuzzy-neuro approach to predictive maintenance using vibration signature classification. |
|---|---|
| Authors: | Vasudevan, Asokan1, El Khider, Mohammed2, Yogeesh N.1,3 yogeesh.r@gmail.com, Doraisingam, Puspanathan1, Ali, Khan Sarfaraz1, Sathishkumar, A.4 |
| Source: | Sound & Vibration. 2026, Vol. 60 Issue 2, p1-21. 21p. |
| Database: | Environment Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: eih DbLabel: Environment Complete An: 193687732 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=193687732 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.59400/sv3950 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1 Titles: – TitleFull: A fuzzy-neuro approach to predictive maintenance using vibration signature classification. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Vasudevan, Asokan – PersonEntity: Name: NameFull: El Khider, Mohammed – PersonEntity: Name: NameFull: Yogeesh N. – PersonEntity: Name: NameFull: Doraisingam, Puspanathan – PersonEntity: Name: NameFull: Ali, Khan Sarfaraz – PersonEntity: Name: NameFull: Sathishkumar, A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15410161 Numbering: – Type: volume Value: 60 – Type: issue Value: 2 Titles: – TitleFull: Sound & Vibration Type: main |
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