Tool Condition Monitoring in Machining - Neural Networks

Condition monitoring and diagnosis systems capable of identifying machining system dejects and their location are essential for unmanned machining. Unattended (or minimally manned) machining would resu1t in increased capital equipment utilization, thus substantially reducing the manufacturing costs. A review of tool monitoring systems and techniques and their components and the Multiple Principle Component fuzzy neural network for tool condition monitoring machining are presented.