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Analytics in the PI System:
Part 1 – A Layered Approach Fit for Purpose

On-Demand Webinar

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For data quality, the scope of the analytics has to be understood in its usage context – an individual sensor (pressure, temperature, flow, vibration etc.), a single piece of equipment such as a pump (with a few sensors), a functional equipment group (FEG) - say, a feedwater system (made up of a group of equipment like motor/pump/valve/filter assembly) or an entire process unit or a plant. Similarly, for maintenance, the analytical requirements must be framed around popular maintenance strategies - reactive, preventive, condition-based, and predictive. And, for a process, the layers are often described as – descriptive-diagnostic-predictive-prescriptive. A layered approach can encode SME (subject-matter-expert) knowledge in fit-for-purpose analytics, and you can deploy the analytics in a hybrid fashion - both physics/engineering (first principles) based analytics as well as data-driven with machine learning via open source or third-party libraries.

Join us for part 1 of this webinar series where we first explore a layered approach to analytics in the PI System - for use cases in data quality, condition-based/predictive maintenance, process diagnostics, and others. We will introduce the data engineering aspects in the analytics workflow and prepare you for what to expect regarding operationalizing the analytics.


About the Presenters


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Gopal has been involved in several roles at OSIsoft for over 20 years and has been involved with software development, technical and sales support, and field services. Prior to being a Solutions Architect, he was a Product Manager with a focus on Enterprise and Asset Integration. Gopalkrishnan has a master's degree in chemical engineering, continuing education in business administration, and is a registered Professional Engineer in Pennsylvania. He is also active in the MESA Technical Committee and the MESA Continuous Process Industry Special Interest Group, and active in topics such as data mining, energy efficiency, manufacturing intelligence, sustainability, including green initiatives in facilities and data centers.



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Curt Hertler is a Global Solutions Architect based in Cleveland. He has had several roles at OSIsoft, including the establishment of the OSIsoft’s Developers Network in 1989, which might have been the world’s first app store. Before joining OSIsoft, Curt had 19 years of petroleum refining experience working for Marathon Oil and British Petroleum. In addition to having advanced control and process engineering responsibilities, he has taken on projects to develop and operationalize analytical models for online process optimization. Curt represented BP for five years on the National Petroleum Refiners Association Computer Applications Committee. He graduated with a BS and MS in Chemical Engineering from the University of Michigan.

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