Real time detection of alternator failures using intelligent control systems

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dc.contributor.authorMurat, Ucar
dc.contributor.authorRaif, Bayir
dc.contributor.authorMahmut, Ozer
dc.date.accessioned2024-09-29T16:22:20Z
dc.date.available2024-09-29T16:22:20Z
dc.date.issued2009
dc.departmentKarabük Üniversitesien_US
dc.description6th International Conference on Electrical and Electronics Engineering, ELECO 2009 -- 5 November 2009 through 8 November 2009 -- Bursa -- 79288en_US
dc.description.abstractOn todays vehicles, dynamos are being left gradually and alternators take the turn instead for charging systems. Alternator is an electromechanical device which converts mechanical energy into electrical energy. Superior feature of alternators is that they can be charged on idling epoch and they have more output current. On the other hand by using diodes alternative current can be converted into direct current. Alternators are the main component of the charging system on modern vehicles. In this study, alternator failures are detected using fuzzy logic and artificial neural network. These are double diode failure, excessive current, excessive stretch belt, loose belt, loose brush, regulator failure, short circuits on coils, one broken connection on rotor coil, two broken connection on rotor coil, broken connection on tridiode and tridiode short circuit. For detecting the failures, current, accumulator voltage, alternator voltage and the epoch number of the alternator is measured and alternator failure detection classification is implemented by designing an intelligent system inference according to these measured values.en_US
dc.identifier.endpageII384en_US
dc.identifier.isbn978-994489818-8
dc.identifier.scopus2-s2.0-76249103271en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpageII380en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9974
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofELECO 2009 - 6th International Conference on Electrical and Electronics Engineeringen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAutomobile electronic equipmenten_US
dc.subjectAutomobile parts and equipmenten_US
dc.subjectElectric generatorsen_US
dc.subjectElectromechanical devicesen_US
dc.subjectElectronics engineeringen_US
dc.subjectFuzzy logicen_US
dc.subjectIntelligent systemsen_US
dc.subjectNeural networksen_US
dc.subjectReal time systemsen_US
dc.subjectAlternative currenten_US
dc.subjectArtificial Neural Networken_US
dc.subjectCharging systemsen_US
dc.subjectDirect currenten_US
dc.subjectElectrical energyen_US
dc.subjectFailure detectionen_US
dc.subjectMain componenten_US
dc.subjectMechanical energiesen_US
dc.subjectOutput currenten_US
dc.subjectReal-time detectionen_US
dc.subjectRotor coilsen_US
dc.subjectShort circuiten_US
dc.subjectSuperior featureen_US
dc.subjectSafety engineeringen_US
dc.titleReal time detection of alternator failures using intelligent control systemsen_US
dc.typeConference Objecten_US

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