Study on the Digital Intelligent Diagnosis of Miniature Machine Tools

Several industries are currently focusing on smart technologies, high customization, and the integration of solutions. This study focuses intelligent diagnosis digital small machine tools. Furthermore, main technology processes cases for manufacturing tool applications introduced. Owing to requirements automated processing determine quality a process in advance, health status should be monitored real time, abnormalities detected periodically. In this study, we captured real-time signals temperature, spindle current, vibration three five-axis Moreover, used principal component analysis diagnose compare spindles machines. We developed miniature monitoring application avoid time delays loss from damage, monitor online under an actual application. Therefore, can also tools through modeling technology, allowing user trends health. research provides feasible method believe that functions will continue increase future.