[Problem] To provide a signal data discrimination device that is robust with respect to an unessential variation such as a light source variation and is capable of performing discrimination with high accuracy with a smaller amount of learning data than ever before. [Solution] A signal data discrimination device comprises: a signal data input unit for inputting signal data to be discriminated; a feature map generation unit which generates a feature map by extracting a feature quantity with respect to the signal data using a learning unit that has performed learning in advance on the basis of a plurality of pieces of sample data attached with a normal or abnormal teacher signal; a distance map generation unit which, using a plurality of pieces of data of the feature maps generated on the basis of the plurality of sample data attached with a normal teacher signal and the feature map of the signal data, generates a distance map by taking a feature map difference between combinations of the pieces of sample data and the signal data; a distance value computation unit which determines a distance value between the signal data and the sample data from the distance map; and a signal data discrimination unit which performs discrimination as to whether the signal data is normal or abnormal on the basis of the distance value.
LEARNED MODEL GENERATION METHOD, LEARNED MODEL GENERATION DEVICE, SIGNAL DATA DISCRIMINATION METHOD, SIGNAL DATA DISCRIMINATION DEVICE, AND SIGNAL DATA DISCRIMINATION PROGRAM