Prediction device, prediction method, and computer-readable medium

A prediction method comprising:

• extracting a first and second multi-dimensional feature including a feature of each of a plurality of frequency components included in a time-series signal of a first sensor and a second sensor respectively;
• inputting the first multi-dimensional feature into an encoder and the second multi-dimensional feature into a decoder, wherein a transformer model including the encoder and the decoder learns the relationship between the first multi-dimensional feature and the second multi-dimensional feature;
• inputting the first multi-dimensional feature into the encoder, wherein a learned transformer model predicts and outputs the second multi-dimensional feature;
• and
• generating the time-series signal of the second sensor based on the second multi-dimensional feature obtained from outputting of the transformer model.

A non-transitory computer readable medium storing a program for causing a computer to perform processes including:

• extracting a first and second multi-dimensional feature including a feature of each of a plurality of frequency components included in a time-series signal of a first sensor and a second sensor respectively;
• inputting the first multi-dimensional feature into an encoder and the second multi-dimensional feature into a decoder, wherein a transformer model including the encoder and the decoder learns the relationship between the first multi-dimensional feature and the second multi-dimensional feature;
• inputting the first multi-dimensional feature into the encoder, wherein a learned transformer model predicts and outputs the second multi-dimensional feature;
• and
• generating the time-series signal of the second sensor based on the second multi-dimensional feature obtained from outputting of the transformer model.