Design of an Intelligent Decision Making System for a Travelling Wave Ultrasonic Motor

Colak I., BAYINDIR R., KAHRAMAN H. T., Yesilbudak M.

8th International Conference on Machine Learning and Applications, Florida, United States Of America, 13 - 15 December 2009, pp.669-672, (Full Text) identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/icmla.2009.57
  • City: Florida
  • Country: United States Of America
  • Page Numbers: pp.669-672
  • Karadeniz Technical University Affiliated: No

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.