YAPAY SİNİR AĞI (YSA) KULLANARAK TİTREŞİM TABANLI MAKİNA DURUM İZLEMESİ VE HATA TEŞHİSİ
Keywords (Original Language):
|Author Name||University of Author||Faculty of Author|
 Mahmod M.Samman “A Hybrid Analysis Method
for Vibration Signals Based on Neural Networks and
Pattern Recognition Techniques”, Journal of
Vibration and Acoustics, January 2001, Volume 123,
Issue 1, pp. 122-124.
 Yongjun Wu, “Modeling and Simulation of
Vibration Control Using a CMAC Neural Network”,
Master of Science in Electrical Engineering,
University of New Hampshire, May 1999.
 Yildirim S., Uzmay I., “Neural network applications
to vehicles vibration analysis”, Mechanism and
Machine Theory 38 (2003) 27–41.
 Yaagoub N. Al-Nassar, Mohsin Siddiqui, Ahmed Z.
Al-Garni, “Artificial neural networks in vibration
control of rotor-bearing systems”, Simulation
Practice and Theory 7, 729-740, October 1999.
 Kumaraswamy. S., Rakesh. J. Ve Amol Kumar N.,
“Standardization of Absolute Vibration Level and
Damage Factors for Machinery Health Monitoring”,
Proceedings of VETOMAC-2, 16-18 December,
 ISO 10816-1, TC 108/SC 2, ICS:17.160, Mechanical
vibration, evaluation of machine vibration by
measurements on non-rotating parts, Part 1: General
 ISO 2372, “Mechanical vibration of machines with
operating speeds from 10 to 200 rev/s – Basis for
specifying evaluation standards”, 1974.