CLASSIFYING APPARATUS, CLASSIFYING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
卷宗概要
发明人
Hemant Shivsagar PRASAD; Takashi MATSUSHITA; Daisuke IKEFUJI; Murtuza PETLADWALA
IPC 分类
CPC 分类
A classifying apparatus performs: acquiring a waterfall data that indicates amplitude of vibration for each point in time and for each sensing point in a vibration sensor that is placed along a target object; performing semantic segmentation on the waterfall data to generate a class data that indicates a normal class or an abnormal class for each element of the waterfall data; and classifying the sensing points into a monitoring point and a non-monitoring point. The normal class is assigned to the element whose sensing point is predicted to be the monitoring point. The abnormal class is assigned to the element whose sensing point is predicted to be the non-monitoring point. The monitoring point is the sensing point that is placed along the target object. The non-monitoring point is the sensing point that is not placed along the target object.
原文（中文）
A classifying apparatus performs: acquiring a waterfall data that indicates amplitude of vibration for each point in time and for each sensing point in a vibration sensor that is placed along a target object; performing semantic segmentation on the waterfall data to generate a class data that indicates a normal class or an abnormal class for each element of the waterfall data; and classifying the sensing points into a monitoring point and a non-monitoring point. The normal class is assigned to the element whose sensing point is predicted to be the monitoring point. The abnormal class is assigned to the element whose sensing point is predicted to be the non-monitoring point. The monitoring point is the sensing point that is placed along the target object. The non-monitoring point is the sensing point that is not placed along the target object.