Tool Condition Monitoring Using the TSK Fuzzy Approach Based on Subtractive Clustering Method

摘要

This paper presents a tool condition monitoring approach using Takagi-Sugeno-Kang (TSK) fuzzy logic incorporating a subtractive clustering method. The experimental results show its effectiveness and satisfactory comparisons with several other artificial intelligence methods.