Fault diagnosis for rotating machinery based on deep learning.
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| Title: | Fault diagnosis for rotating machinery based on deep learning. |
|---|---|
| Authors: | ElAraby, Wessam S.1 (AUTHOR) eng.wessamsayed@yahoo.com, Madian, Ahmed H.1 (AUTHOR), Saad, Mohamed H.1 (AUTHOR) |
| Source: | Noise & Vibration Worldwide. Jul2025, Vol. 56 Issue 8/9, p400-421. 22p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 187006086 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Fault diagnosis for rotating machinery based on deep learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22ElAraby%2C+Wessam+S%2E%22">ElAraby, Wessam S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> eng.wessamsayed@yahoo.com</i><br /><searchLink fieldCode="AR" term="%22Madian%2C+Ahmed+H%2E%22">Madian, Ahmed H.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Saad%2C+Mohamed+H%2E%22">Saad, Mohamed H.</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Noise+%26+Vibration+Worldwide%22">Noise & Vibration Worldwide</searchLink>. Jul2025, Vol. 56 Issue 8/9, p400-421. 22p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=187006086 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/09574565251348863 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 400 Titles: – TitleFull: Fault diagnosis for rotating machinery based on deep learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: ElAraby, Wessam S. – PersonEntity: Name: NameFull: Madian, Ahmed H. – PersonEntity: Name: NameFull: Saad, Mohamed H. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09574565 Numbering: – Type: volume Value: 56 – Type: issue Value: 8/9 Titles: – TitleFull: Noise & Vibration Worldwide Type: main |
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