Fuzzy Modeling on the Basis of FCM Technique: A Case Study Aiming at Process Supervision

Abstract

The nonlinear behavior and complexity of machining processes have motivated researchers to use fuzzy model to effect process supervision. The main idea of this paper concerns the application of fuzzy logic and clustering techniques to develop a fuzzy model of the milling process aiming at the optimization of machine-tool performance and the overall machining process. A brief description of the algorithm employed is given, focused on the fuzzy c-mean technique (FCM). The results indicate that the FCM criterion is suitable for modeling complex processes such as the milling process. The fuzzy model obtained serves as foundation to develop complex supervisory systems.