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https://dspace.univ-ouargla.dz/jspui/handle/123456789/30771Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | KAFI, Mohamed Redouane | - |
| dc.contributor.author | KAFI, Omar Rafik | - |
| dc.contributor.author | ABDESSAMED, Zakaria | - |
| dc.date.accessioned | 2022-10-04T09:33:24Z | - |
| dc.date.available | 2022-10-04T09:33:24Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.uri | https://dspace.univ-ouargla.dz/jspui/handle/123456789/30771 | - |
| dc.description | Automatic and systems | en_US |
| dc.description.abstract | This workdealswithfaultdiagnosisofpowerconverterusedinphotovoltaicsystems whichsupplyandisolatedelectricloadandhowittransformthecurrentsafelytodevices. this thesistreatthemulticellularpowerconverterdescribehowmuchthepowerconverter failures influencetotheloadcurrentthemainfocusingisinthecapacitorsfaultswhich can affectbadlytotheloadcurrentssoitcanresultbadconsequencesondevices.which proposedasolutionforthisproblemusing(KNN)k-nearestneighbormachinelearning algorithm tobuildaclassificationmodelfordiagnosis.andusingtwomodesofcontrolin order tocompareintermofthefunctionunderfailures,loadcurrentpreservationand the smoothest,andintermoftheaccuracyoftheclassificationmodelbuilt.aswellas to usingtheslidingmodecontrolmodeandtheexactlinearizationmode,thisisforthe purposeofcomparisonintermsofsystemperformanceduringtheoccurrenceoffaults and theextentoftheirimpactontheloadcurrentbyexaminingtheshapeofitssignal and analyzingtherobustnessofthetwocontrolsinnotbeinggreatlyaffectedbythe faults andshowingit. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Faultdiagnosisbasedmachinelearning | en_US |
| dc.subject | multicellularpowerconverter | en_US |
| dc.subject | photovoltaicsystem | en_US |
| dc.subject | nolinearcontrol | en_US |
| dc.title | Fault detection in photovoltaic power converter | en_US |
| dc.type | Thesis | en_US |
| Appears in Collections: | Département d'Electronique et des Télécommunications - Master | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| KAFI Omar Rafik ABDESSAMED Zakaria.pdf | Automatic and systems | 3,42 MB | Adobe PDF | View/Open |
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