In order to explore the machining process of trapezoidal thread vibration assisted cold extruding machine tool, a dedicated on-line monitoring system is studied and implemented based on multi-sensor signal. So the life of extrusion tap is extended and the quality of trapezoid thread is improved. The paper studies the vibration, acoustic emission, torque and temperature signal of cold extrusion forming process for trapezoidal thread in different technological parameter. Based on the analysis of these signals, it expounds the internal relation between different technological parameter and process signals. The experiment results show that, as the spindle speed and lubricating oil viscosity coefficient increase, the mean square root of vibration and acoustic emission signal is continuously improved. And the frequency of vibration and acoustic emission signals is moved to high frequency, and torque, temperature are also increasing. The optimal value of excitation frequency is around 18Hz.