Online tool condition monitoring based on parsimonious ensemble

• Main Authors: Pratama, Mahardhika, Dimla, Eric, Tjahjowidodo, Tegoeh, Pedrycz, Witold, Lughofer, Edwin
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Concept Drifts; Ensemble Classifier
• Online Access: https://hdl.handle.net/10356/154226
• Institution: Nanyang Technological University

Existing methodologies for tool condition monitoring (TCM) still rely on batch approaches which cannot cope with a fast sampling rate of a metal cutting process. Furthermore, they require a retraining process to be completed from scratch when dealing with a new set of machining parameters. This pape...