(Virtual) Seminar Series | Challenges of Applying AI/ML for Process Monitoring Problems

All dates for this event occur in the past.

Virtual Seminar by Dr. Shing Chang

Department of Industrial and Manufacturing Systems Engineering

Kansas State University

 

The main objective of this presentation focuses on key challenges and potential solutions of using Artificial Intelligence (AI) and Machine Learning (ML) for process monitoring where data for both quality and process data is not abundant. In recent years, AI/ML approaches provide a promising framework for process monitoring problems including visual inspections. However, model performance in terms of accuracy and precision/recall requires a large amount of data for all defect types. When the data is not large enough, the predictive capability of most AI/ML models often suffers. This talk outlines a few approaches including transfer learning and data quality to address this challenge. Two examples used to demonstrate the proposed strategies include an ensemble of ML models to predict print quality of a selective laser melting (SLM) additive manufacturing process and the scribing quality of a laser-assisted manufacturing process.

Dr. Shing Chang is a professor in the Department of Industrial and Manufacturing Systems Engineering at Kansas State University. He teaches courses related to Quality Engineering and Big Data Analytics at both undergraduate and graduate levels. Dr. Chang earned his Ph.D. degree in Industrial and Systems Engineering from the ISE at Ohio State University in 1991. His research interests include smart system monitoring, profile monitoring, statistical process control implementation for big data applications, neural networks and fuzzy set applications in quality engineering, spatial data modeling, and multivariate data modeling and visualization. He is a senior member of IISE and ASQ. He received the SME outstanding young manufacturing engineer award in 1997 while serving as the president of the QCRE division of IISE. He was the department editor of on-line quality engineering in IIE Transactions in 2002-2005. Details of his publication profile are summarized in google scholar: https://scholar.google.com/citations?user=W3JoMWsAAAAJ&hl=en

Category: Seminars