This 8 hour (average duration) on-line course provides an orientation of Batch Analytics Model Builder. The course includes audio presentations, demonstrations, hands-on practices, hands-on workshops, and quizzes. Upon completion of this course, the student will be able to:
Define basic principles of Batch Data Analytics and their use in fault detection and quality parameter prediction.
Use the Batch Data Analytics Model Builder application to build and deploy a project for fault detection and quality parameter prediction.
Users will be able to recognize and navigate the screens needed to build a model in Batch Analytics.
Users need to define batch logic, stage logic, and initial condition logic needed for model development.
Users will be able to interpret analytic data of the Model Builder application using a saline example.
Users will be able to build a Batch Data Analytics model.
DeltaV Batch experience and Microsoft Windows experience is required. Statistical/Quality background would be beneficial.
Batch Analytics Overview
Batch Analytics Model Builder Overview
Batch Analytics Viewer Overview
Batch Saline Simulation
Benefits of Using Batch Analytics
Batch Analytics Manager Administration
Batch logic, stage logic, and initial logic required to build a model