PNÖMATİK SİSTEMDE GERÇEK ZAMANLI LVQ YAPAY SİNİR AĞI ALGORİTMASI İLE ARIZA TESPİTİ

PNÖMATİK SİSTEMDE GERÇEK ZAMANLI LVQ YAPAY SİNİR AĞI ALGORİTMASI İLE ARIZA TESPİTİ

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Bu çalışmada, pnömatik sistemde arıza meydana geldiğinde bunun çok çabuk teşhis edilmesi ve gerekli önlemlerin alınması için yapay sinir ağı geliştirilmiştir. Deney amaçlı geliştirmiş olduğumuz şişe dolum tesisinde bir arıza olduğunda sistemin değişik yerlerine konulan basınç sensörleri ve doğrusal...

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Bibliographic Details
Main Author:	Mustafa DEMETGÜL
Format:	Article
Language:	English
Published:	Pamukkale University 2008-01-01
Series:	Pamukkale University Journal of Engineering Sciences
Subjects:	Neural network Fault diagnosis LVQ (Lineer Victor Quantization) Pneumatic. Yapay sinir ağı Arıza teşhisi Pnömatik.
Online Access:	http://dergipark.gov.tr/pajes/issue/20513/218401?publisher=pamukkale

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