Develop and Monitor Advanced Multivariate Models with Aspen Unscrambler and Process Pulse

This course is being exclusively offered as part of AspenTech's OPTIMIZE conference. You may register for this training at a discounted rate bundled with the conference at https://www.optimize2024.com

Learn the basics of performing multivariate analysis with the Aspen Unscrambler interface. Uncover multivariate relationships from process data, raw material properties, and initial conditions to final product quality and productivity. Monitor your process in real-time with Aspen Process Pulse. Integrate custom python libraries into your offline and online models.

Audience:

Data analysts

Process Engineers with programming background

Training Details

  • Course Id:

    MVA024

  • Duration:

    1 day(s)

  • CEUs Awarded:

    0.7

  • Level:

    Introductory

Benefits

Understand the basics of multivariate analysis

Learn how to apply multiple algorithms to analyze spectroscopic data

Optimize process quality and output by identifying key controllable variables

Develop custom models with Python integration

Approach

  • Clear guidance on fundamental topics
  • Industry workflows
  • Hands-on workshops
  • Experienced instructor-guided demonstrations
  • Q&A on student-specific problems

Pre-requisites

Understanding of Multivariate Analysis is helpful but not mandatory

Subsequent Courses

Agenda

Introduction to Multivariate Analysis (MVA)

Principal Component Analysis (PCA)

-Describe the benefits of Multivariate Analysis

-Explain how Principal Component Analysis is performed

-Create a simple model in Aspen Unscrambler

-Understand results from a PCA analysis

Workshop #1: Interpret PCA results in Aspen Unscrambler

Validate a Multivariate Model

-Detect and remove outliers

-Perform a multivariate regression

-Make predictions based off model results

Workshop #2: Create Predictions PLSR

Monitor an Aspen Unscrambler Model with Aspen Process Pulse

-Prepare a model for online monitoring

-Deploy a model to Aspen Process Pulse

-Navigate Aspen Process Pulse to monitor current events

Workshop #3: Deploy a Model for Monitoring with Aspen Process Pulse

Integrate Python with Aspen Unscrambler and Process Pulse 

-Create a simple Python script

-Add Python as a data source for Process Pulse

-Modify an Unscrambler model to include inputs from Python to create an advanced model

-Monitor an advanced model in Process Pulse

Workshop #4: Integrate Python into Aspen Unscrambler and Process Pulse

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Aspen Technology, Inc. awards Continuing Education Units (CEUs) for training classes conducted by our organization. One CEU is granted for every 10 hours of class participation.