This work is interested to the analysis of the vibratory signals coming from a milling
operation. The objective is the detection of cutting tool breakage using the
cyclostationary tools. Initially, we will show that the vibration signals captured from
the milling operation are cyclostationary. The proposed cyclostationary methods are the
first and second order synchronous statistics and the spectral correlation. A test rig,
composed of a milling machine (cutter with 5 teeth) and a workpiece, is used to extract
the vibration signals that are angular sampled in the free fault case and one broken tooth
case. This test rig is instrumented with three accelerometers, installed in the three
directions, and an optical encoder that allows the angular sampling. Then we will see that
the angular sampling of the signals captured from a milling operation is essential to
preserve the cyclostationary properties destroyed, in the case of the temporal sampling,
by speed fluctuations. The proposed method capacity to detect the broken tooth is shown.
The synchronous statistics of order 1 and order 2 detect the broken tooth presence and its
emplacement. The spectral correlation analysis distinguishes the broken tooth presence,
but is not practical for the diagnosis. For that, an indicator based on the spectral
correlation is proposed.