An Automated Solution for Real-Time Ball Bearing Defect Detection

Ball bearings are critical components in various industrial applications, including manufacturing, transportation, and machinery. These bearings play a vital role in ensuring the smooth functioning of mechanical systems by reducing friction between moving parts. The book An Automated Solution for Real-Time Ball Bearing Defect Detection provides an in-depth exploration of automated defect detection methods using advanced technologies such as artificial intelligence (AI), machine learning (ML), signal processing, and Internet of Things (IoT)-based solutions. This book is a valuable resource for engineers, researchers, and industry professionals looking to implement automated solutions for ball bearing defect detection in real-time applications.

Autorentext

Mr. A. Sam Daniel Fenny, Assistant Professor, Department of Mechanical Engineering, Agni College of Technology, Chennai, Tamilnadu, India. He has 14 years of teaching experience. His areas of interest are Product Design, Industrial Robots, Design of Machine Elements, FEA. He is currently doing his research in Material Characterization.