An AWS machine learning-based indirect monitoring method for deburring in aerospace industries towards industry 4.0

• Main Authors: Wijaya, Tomi, Lee, Daryl, Tjahjowidodo, Tegoeh, Then, David, Manyar, Omey M., Caesarendra, Wahyu, Pappachan, Bobby Kaniyamkudy
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: Machine Learning; DRNTU::Engineering::Mechanical engineering; Internet of Thing
• Online Access: https://hdl.handle.net/10356/89166; http://hdl.handle.net/10220/47026
• Institution: Nanyang Technological University

The number of studies on the Internet of Things (IoT) has grown significantly in the past decade and has been applied in various fields. The IoT term sounds like it is specifically for computer science but it has actually been widely applied in the engineering field, especially in industrial applica...