Plenary Lecture
Faults Analysis of on Hips and Knees of Humans using Proposed Neural Networks
Professor Sahin Yildirim
Mechatronic Engineering Department
Erciyes University
TURKEY
E-mail: sahiny@erciyes.edu.tr
Abstract: Due to recent heart attacks on humans; it is necessary to predict heart graphs of humans; during running positions. On the other hand hip and knee joints should be analysed to predict walking and running conditions. Therefore; in this experimental works; hip, knee and heart attacks are analysed in experimentally. After experimental measurement; a proposed neural network is employed to predict; hip, knee and heart attack behaviour of humans with walking and running stages. The vibration analyses of the human hip and knee joint have been examined by using artificial neural networks. The aim of this investigation is to obtain the robust and adaptive neural network predictor of the human hip and knee joint fro two different walking conditions. The proposed neural network predictor is robust stable to analyze the vibration parameters of the human hip and knee joint. Therefore, the proposed fault detection based neural analyzer is suitable for the solution of other prediction problems.
Brief Biography of the Speaker: Dr. YILDIRIM received his Dip. Eng. Degree and MSc Degree from Erciyes University, KAYSERİ, TURKEY in Mechanical Engineering. He received his PhD degree from CARDIFF UNIVERSITY UK. His research interests include: Artificial Neural Networks, System Dynamics and Control, Robot Control, Mechanical Vibrations, Suspension Systems. He has authored or co- authored over 120 refereed journal and conference proceeding papers, and invited book chapters in the above areas. Dr. YILDIRIM has chaired sessions at several international conferences. He is a frequent paper reviewer for several journals, including Mechanism and Machine Theory and IEEE Industrial Electronics, Mechatronics. He was a member of IEEE. He has held visiting Dr-ship in Cardiff University,2001 and Debrecen University, Hungary 2009.