New statistical learning perspective for design of a physically interpretable prototypical neural network for machine condition monitoring

•New statistical learning perspective is proposed to provide a guideline for artificially designing a physically interpretable prototypical neural network.•Weights of the prototypical neural network are highly correlated with fault features.•Physically interpretable weights are necessary fault features in the domain of machine condition monitoring.