Találati lista | Tudóstér

001-es BibID:	BIBFORM020529
Első szerző:	Yildirim, Şahin (gépészmérnök)
Cím:	Vibration analysis of food industries mixing systems for long life using neural networks / Yildirim, Sahin, Eski, Ikbal, Erkaya, Selcuk, Husi, Geza
Dátum:	2011
Megjegyzések:	Due to health problems on food industry, it is necessary to control exact mixing rate of some fruit juices. In this study; whole mixing systems with automation is investigated for different flow rates in the pipes. On the other hand, a robust analyzer is designed to predict real time vibrations on the system. Furthermore, from other investigations; neural networks have superior performance to predict such problems. For that reason, three types of neural networks are used to predict vibrations on different points of three tank mixing system. The results are improved that the proposed Radial Basis Neural Network (RBNN) has good performance at adapting vibration problems on mixing system. Finally, this type of neural network will be employed to analyze food industries automation systems.
ISBN:	978 1 4577 0838 1
Tárgyszavak:	Műszaki tudományok Gépészeti tudományok tanulmány, értekezés Vibrations Neural network
Megjelenés:	IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2011 : 3-7 July 2011 Budapest, Hungary. - p. 197-202. -
További szerzők:	Eski, Ikbal Erkaya, Selcuk Husi Géza (1962-) (gépészmérnök, mechatronikai mérnök, számítógépes tervezőmérnök)
Internet cím:	DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon: