Design of Accelerometer Stand Using AI-based Optimization and Metal Additive Manufacturing

Abstract

To realize Predictive Maintenance, the combination of many sensors, big data by IoT, and AI technology for anomaly detection is thought to be necessary, but machine design technology should also be discussed. In this study, an AI-assisted methodology using Grad-CAM to optimize the dynamic characteristics of a metal ALM part and improve the accuracy of anomaly detection by Deep Learning is proposed.