Dr Ian Chan is a Senior Scientist and is currently Group Manager for Manufacturing Execution & Control Group and Deputy Director for Manufacturing System Division at Singapore Institute of Manufacturing Technology, A*STAR, where he is responsible to direct the R&D work in SIMTech to enable the translation of data analytics and IoT for industrial applications in manufacturing and engineering services.
His research interests include sensing, data pre-processing, machine learning, and data analytics for fault detection fault diagnosis and failure prediction to enable condition monitoring and predictive maintenance.
He has a Bachelor’s degree in Mechanical Engineering from NUS, and Masters and PhD from Department of Aeronautics & Astronautics Stanford University.
His previous job was in aerodynamics research at DSO (now DSO National Laboratories and in structural health monitoring system development at Acellent Technologies, Inc in USA, before moving to Singapore to work at SIMTech. He is also a member of Technical Committee for Enterprise Singapore Smart Manufacturing for 2018-2020, and has 30 publications to date.
Presentation Title:
Predictive Analytics for Shop-floor Operations and Maintenance
This talk will share the works by SIMTech in applying data mining and artificial intelligence for enabling machine health monitoring, process optimization and activity tracking. Case studies from industry applications will be presented to illustrate the benefits of data analytics in manufacturing applications and how it can save time to troubleshoot and identify root causes of delays or disruptions to production, maintenance actions or reduce scraps in production. The presentation will also share the challenges that still remains despite the benefits, including the lack of labelled data, the lack of useful data for modeling actual production problems. The talk will also share how SIMTech is taking the problems from industry into use-inspired research statements and facilitate the translation for industrial transformation.