Robust monitoring and asset maintenance programs are critical for ensuring your business operates safely, reliably and efficiently. When you re tasked with monitoring hundreds of assets, how do you calculate key metrics that can t be measured directly, manage this data efficiently, and predict potential failures? Learn how a combination of technologies can improve early warning detection as well as asset monitoring and maintenance programs while reducing the time spent managing data. Get a better understanding of the unique connectivity between AVEVA PI System , online process simulation and predictive analytics.
Andrew Nathan is a Senior Principal Solution Consultant at AVEVA. He has 15 years industry experience, specifically data infrastructure with PI, machine learning, analytics, visualization, process engineering, plant and pipeline modelling, operator training, 3D visualization and virtual environments. He is passionate about operational performance optimization for the process industries through utilization of data infrastructure, advanced analytics and simulation software tools. He holds a Ph.D. in Polymer Science from the University of Akron and a B.S. in Chemical Engineering from Michigan State University.