Intelligent Monitoring System for Tool Wear Based on Multi-sensor Information Fusion
To improve the accuracy and reliability of intelligent monitoring of tool wear status of CNC machine tools,an intelligent monitoring method and system based on multiple sensors information fusion was proposed.A variety of sensors were used to collect the machine tool inverter input current signals,workpiece three directional vibration signals and acoustic signals during tool machining,then the collected signals were processed and analyzed in the time,frequency and time-frequency domains.The sensitive feature vector varia-bles which had a high correlation with the degree of tool wear were automatically identified by the system.Then the method of Mahalano-bis distance was used to analyze and calculate the eigenvectors,and the thresholds could be determined in different states of the tool.Ac-cording to the the calculation results,the wear state of the tool could be recognized.Finally,based on the above principles,a complete in-telligent monitoring system for tool wear of CNC machine tool was developed by using QT development platform.The test results show that the system can accurately monitor the wear state of the tool in real time.
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