Dong-Hun Kim

A CNN-based Unsupervised Learning System for Detecting Stator Pin Insertion Defects in Blower Motors for Industrial Environments

This study proposes a system for detecting defective automobile blower motors based on deep one-class classification (DOCC). DOCC determines defects by learning only normal data to overcome the limited data environment experienced in the actual industrial sites where it is diffic...