Research Article

Industrial Anomaly Detection and Attack Classification Method Based on Convolutional Neural Network

Table 9

Time occupancy of different methods.

Detection methodTime occupancy per instance (s)

SAM-kNN0.099
Pegasos0.101
ARF0.084
e-SREBOM0.089
Our method (feature mapping)0.253
Our method (detection)0.192