Research Article

Intelligent Turning Tool Monitoring with Neural Network Adaptive Learning

Table 5

Energy proportion (102) of the vibration signal in each frequency band after wavelet packet decompositions.

No.A1A2A3A4A5A6A7A8

Initial wear9.9552.99917.775.7623.6073.14617.856.105
Normal wear12.422.25216.442.8773.7082.8715.685.308
Severe wear4.5750.96519.201.2833.2182.29811.193.675

No.A9A10A11A12A13A14A15A16

Initial wear2.1152.3256.5913.4534.0553.3716.9333.953
Normal wear2.272.5568.7064.2313.923.4938.8554.408
Severe wear1.9762.85415.436.7083.3463.64913.725.903