Title :
Design of an Intelligent Decision Making System for a Travelling Wave Ultrasonic Motor
Author :
Colak, Ilhami ; Bayindir, Ramazan ; Kahraman, H. Tolga ; Yesilbudak, Mehmet
Author_Institution :
Electr. Educ. Dept., Gazi Univ., Ankara, Turkey
Abstract :
In this study, an intelligent decision making system which determines the compatibility of operating parameters has been designed for the travelling wave ultrasonic motor (TWUSM). The system designed converts input parameters and operating temperature into useful data by rule-based inference mechanism and these data are evaluated in naive Bayes classifier. The proposed decision making system gives effective results in the compatibility determination of operating parameters for speed stability of the TWUSM.
Keywords :
Bayes methods; decision making; electrical engineering computing; inference mechanisms; knowledge based systems; ultrasonic motors; intelligent decision making system; naive Bayes classifier; rule-based inference mechanism; travelling wave ultrasonic motor; Decision making; Inference mechanisms; Intelligent systems; Learning systems; Sensorless control; Stability; Stators; Temperature; Velocity control; Vibrations; Intelligent Decision Making System; Naïve Bayes Classifier; Ultrasonic motor;
Conference_Titel :
Machine Learning and Applications, 2009. ICMLA '09. International Conference on
Conference_Location :
Miami Beach, FL
Print_ISBN :
978-0-7695-3926-3
DOI :
10.1109/ICMLA.2009.57
