Research Article

Intelligent Turning Tool Monitoring with Neural Network Adaptive Learning

Table 10

Recognition results of cutting tool state.

No.Tool wear stateOutputRecognition resultsActual resultsResult judgment

1Initial wear0.99990.50000.50001 0 01 0 0Correct
2Normal wear0.50000.99990.50000 1 00 1 0Correct
3Severe wear0.50000.50000.99980 0 10 0 1Correct
4Initial wear0.99990.50000.50001 0 01 0 0Correct
5Normal wear0.50000.99990.50000 1 00 1 0Correct
6Severe wear0.50000.50000.99990 0 10 0 1Correct
7Initial wear0.99990.50000.50001 0 01 0 0Correct
8Normal wear0.50000.99910.50000 1 00 1 0Correct
9Severe wear0.50000.50000.99990 0 10 0 1Correct
10Initial wear0.99980.50000.50001 0 01 0 0Correct
11Normal wear0.50000.99990.50000 1 00 1 0Correct
12Severe wear0.50000.50000.99940 0 10 0 1Correct
13Initial wear0.87650.50000.50001 0 01 0 0Correct
14Normal wear0.50000.99990.50000 1 00 1 0Correct
15Severe wear0.50000.50000.99990 0 10 0 1Correct
16Initial wear0.50030.72650.50000 1 01 0 0Incorrect
17Normal wear0.50000.96150.50000 1 00 1 0Correct
18Severe wear0.50000.50000.99980 0 10 0 1Correct
19Initial wear0.99990.50000.50001 0 01 0 0Correct
20Normal wear0.50000.99990.50000 1 00 1 0Correct
21Severe wear0.50000.50000.99990 0 10 0 1Correct
22Initial wear0.50030.64650.50000 1 01 0 0Incorrect
23Normal wear0.50000.99990.50000 1 00 1 0Correct
24Severe wear0.50000.50000.99990 0 10 0 1Correct
25Initial wear0.99990.50000.50001 0 01 0 0Correct
26Normal wear0.50000.96150.50000 1 00 1 0Correct
27Severe wear0.50000.50000.99980 0 10 0 1Correct