A digital twin emulator for production performance prediction and optimization using multi-scale 1DCNN ensemble and surrogate models

• Main Authors: Liu, Bufan, Chua, Ping Chong, Lee, Jongsuk, Moon, Seung Ki, Lopez, Manel
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2025
• Subjects: Engineering; Digital twin; Prediction and optimization
• Online Access: https://hdl.handle.net/10356/182579
• Institution: Nanyang Technological University

Production performance prediction and optimization play an important role in securing smooth production and maintaining great efficiency. Traditional methods suffer from tardy and inflexible adjustments, leading to a manufacturing system with low-level responsiveness and adaptability. To pave the wa...