Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/4850Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kiranyaz, Serkan | en_US |
| dc.contributor.author | İnce, Türker | en_US |
| dc.contributor.author | Eren, Levent | en_US |
| dc.date.accessioned | 2023-09-12T06:28:30Z | - |
| dc.date.available | 2023-09-12T06:28:30Z | - |
| dc.date.issued | 2020 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.14365/4850 | - |
| dc.description | US Patent | en_US |
| dc.language.iso | en | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.title | Method and apparatus for performing motor-fault detection via convolutional neural networks | en_US |
| dc.type | Patent | en_US |
| dc.relation.publicationcategory | Patent | en_US |
| item.grantfulltext | open | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| item.cerifentitytype | Publications | - |
| item.openairetype | Patent | - |
| item.fulltext | With Fulltext | - |
| item.languageiso639-1 | en | - |
| crisitem.author.dept | 05.06. Electrical and Electronics Engineering | - |
| crisitem.author.dept | 05.06. Electrical and Electronics Engineering | - |
| Appears in Collections: | Yayın Başvuru Koleksiyonu | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| US10586153.pdf | 1.31 MB | Adobe PDF | View/Open |
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