TOOL CONDITION MONITORING IN MACHINING - NEURAL NETWORKS

摘要

Condition monitoring and diagnosis systems capable of identifying machining system defects and their location are essential for unmanned machining Unattended (or minimally manned) machining would result 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.