Research Article

Tool Wear Monitoring Algorithm Based on SWT-DCNN and SST-DCNN

Table 2

Comparative analysis of recognition accuracy results.

MethodRecognition accuracy (%)
Training setVerification setTest set

SWT-DCNN99.9899.9699.95
SST-DCNN99.9299.8699.93
STFT-DCNN99.8299.7899.89
CWT-DCNN99.999.8199.91