Abstract: The existing tool fault diagnosis system has the problems of huge system, high cost, low precision and so on. It is urgent to develop a high precision and low cost tool fault diagnosis system. A tool fault diagnosis system which based on bionic strain sensors for CNC ( Computerized Numerical Control ) machine tools is proposed. Firstly, the bionic flexible crack array vibration sensitive component which has high-precision and inexpensive encapsulated into a rigid bionic strain sensor, making it suitable for collecting machine tool vibration signals. Then time-frequency features are extracted from the tool vibration signals and tool fault diagnosis model is built by support vector machine algorithm. Through the diagnosis of offline faults and online faults in the real-time machine-processing environment, the results show that the proposed tool fault diagnosis system has an accuracy of greater than 88% in machine-processing fault diagnosis. And the cost of system is reduced. This is a brand-new attempt to apply high-sensitivity and low-cost bionic flexible sensitive component to industrial fault diagnosis.

Key words: information processing technology, tool fault diagnosis, bionic flexible crack array vibration sensitive component, support vector machine, evaluation indicator