The health condition of servo turret depends machining quality of CNC lathe. Performance tests of servo turret are taken to evaluate the health condition and overall status during its service life. This paper selects the core signals during one tool change-cutting cycle from multichannel physical signals and describes the performance of tool change-cutting cycle by defining a series of feature matrixes. In order to clearly and visually express the health condition of different working stages and tool position, a multidimensional features map is designed according to the combination of different time sequence feature matrixes. The above method is applied on a servo turret test platform which is equipped to acquire abundant signals. The result shows that the feature map clearly defines the health condition with one easily interpreted picture instead of unarranged signals. The proposed method provides a new idea of feature selection and visual expression, which can be an instructive tool for health evaluation and fault isolation.

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