M. Hsieh

A Feasibility Study of Deep Learning-Based Motor Defect Screening in a Production Line Using an Airborne Acoustic Signal

Reliable defect detection in motor production lines is important for maintaining manufacturing quality. This study investigates the feasibility of a deep learning-based airborne acoustic screening approach for controlled no-load end-of-line induction motor inspection. Acoustic signals collected under controlled no-load...