Predictive Monitoring of Wirebond Ultrasonic Signal on Electrical Test Result Using Machine Learning

• Main Authors: Haldos, Reymart Rio C, Reyes, Rosula SJ, Abu, Patricia Angela R, Oppus, Carlos M
• Format: text
• Published: Archīum Ateneo 2021
• Subjects: support vector machines; machine learning algorithms; production machine learning; prediction algorithms; acoustics; manufacturing; ultrasonic signal; prediction; embedded system; Computer Sciences; Databases and Information Systems
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/237; https://ieeexplore.ieee.org/abstract/document/9616687
• Institution: Ateneo De Manila University

This study presents the development of a cost-effective predictive monitoring system interfaced to an existing wirebonding machine to determine its corresponding electrical test result. The system was tested on one production lot with the data gathered subjected to a machine learning process to pred...