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

fYear

2009

fDate

13-15 Dec. 2009

Firstpage

669

Lastpage

672

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Applications, 2009. ICMLA '09. International Conference on

Conference_Location

Miami Beach, FL

Print_ISBN

978-0-7695-3926-3

Type

conf

DOI

10.1109/ICMLA.2009.57

Filename

5381361