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- W2224761799 abstract "Ozet Cagdas endustriyel sistemlerde butun sistem basariminin iyi bir duzeyde tutulmasi gerekir. Bu sistemlerde asenkron motor onemli bilesenlerden biridir ve is gucunun buyuk bir kismini karsilarlar. Bu motorlarda olusan arizalar sistem calismasini onemli bir olcude etkiler. Bu motorlar genellikle cevrimdisi olarak belirli zamanlarda izlenir. Fakat bu yontem hem maliyetli hem de fabrikada uretimin durmasina neden olur. Bu calismada asenkron motorlarda olusan stator, rotor ve sonlandirici halka arizalarinin gercek zamanli teshisi icin bir akilli durum izleme yaklasimi sunulmustur. Stator arizalarinin teshisi icin onerilen bulanik sistem uc faz akim sinyalinin buyuklugunden faydalanmaktadir. Rotor ve sonlandirici halka arizalari ise negatif secim tabanli bagisik sistem algoritmasi ile teshis edilmektedir. Donanimsal tasarim Altera Cyclone III FPGA ( Sahada Programlanabilir Kapi Dizileri ) karti uzerinde gerceklestirilmistir. Abstract In modern industrial systems, the overall system performance should be hold at a good level. In these systems, induction motor is one of major components and it constitutes a big part of work-power. The faults occurred in induction motors dramatically affect the system performance. These motors are generally monitored offline in a scheduled time. However, this method is both cost and it causes breakdown of the production in a factory. In this study, an intelligent condition monitoring approach is proposed to diagnose stator and rotor faults in real time. Fuzzy system which proposed to diagnose stator faults utilizes the magnitudes of three phase currents. Rotor and end-ring faults are diagnosed by negative selection based immune system algorithm. Hardware design was implemented on Altera Cyclone III FPGA." @default.
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- W2224761799 date "2012-10-09" @default.
- W2224761799 modified "2023-09-22" @default.
- W2224761799 title "Eş zamanlı Arıza Teşhisi için FPGA Tabanlı Akıllı Durum İzleme Yöntemlerinin Geliştirilmesi / Development of FPGA Based Intelligent Condition Monitoring Methods for Synchronously Fault Diagnosis" @default.
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