Patent ID: 10832698

Abstract:
An abnormal sound detection device includes a first learning unit that inputs a normal operating sound of the machine equipment, and registers a normal sound base spectrum from an amplitude spectrogram, a new sound/new vibration extraction unit that executes supervised nonnegative matrix factorization (NMF) using the normal sound base spectrum as teacher data on an acoustic signal input during diagnosis, and outputs a nonnegative matrix not allowed to be approximated with a low rank in the normal sound base spectrum, a second learning unit that extracts a new sound/new vibration component from the normal operating sound of the machine equipment, learns a normal sound model from the new sound/new vibration component, and registers the normal sound model, and an abnormality detection unit that computes a probability that the new sound/new vibration component extracted from the acoustic signal of the machine equipment during diagnosis is generated from the normal sound model.