Manufacturing Data Fusion: A Case Study with Steel Rolling Processes

Production systems typically generate massive sensing data. Data fusion methods are required to transform these sensing data into valuable knowledge for process and quality improvement. This chapter provides a summary of a series of studies motivated by steel rolling processes, which addresses several aspects, including estimating the effects of process operations, predictive modeling, and unsupervised event identifications.