FUZZY CLUSTERING FOR AUTOMATED TOOL CONDITION MONITORING IN MACHINING

A strategy for unsupervised classification for automated tool condition monitoring by using fuzzy neural networks is proposed. This approach is based on a newly developed classification algorithm by the authors, namely the multiple principal component fuzzy neural network for tool condition monitoring. This algorithm uses three major components of soft computation; fuzzy logic, neural network, and probability reasoning. The proposed network …