Abstract
It is important to detect early abnormal sign to keep availability of industrial machines. We think about detecting machine-abnormal state using acoustic sensor. So, we study the method of acoustic feature extraction. We explain the method of feature extraction in case of measurement of time variation. We confirmed the difference between normal sound and abnormal sound on peak-frequency histogram representation.
