It is described how to use acoustic emission （AE） technology for aviation aluminum alloy high￣speed milling process monitoring. A monitoring device hardware systems and the composition of signal data acquisition platform are introduced. The signals are decomposed by using the wavelet analysis, and then each frequency band of energy after decomposition is computed. From the comparison of each frequency band of energy, it is found that signal energy can be used as the characteristic parameter of the tool wear.