Exclusive for Optimize 2021 Attendees: Introduction to Deep Learning for Aspen Inferentials (IQ)

Deep Learning nonlinear models for Aspen IQ's provide accurate inference of process and quality variables across a wide range of operating conditions. In this class learn to develop, deploy and monitor Deep Learning models for Aspen IQ's and leverage reports and dashboards to monitor KPIs in real time using Aspen Watch Performance Monitor™ 

Audience:

  • Process Control Engineers or any other engineers designing, implementing or maintaining APC controllers

Training Details

  • Course Id:

    APC021

  • Duration:

    0.5 day(s)

  • CEUs Awarded:

    0.4

  • Level:

    Intermediate

Benefits

  • Apply the embedded Deep Learning technology to simplify inferential model development and predict process and quality variables with greater accuracy in nonlinear regions & across different product slates

Approach

  • Industry workflows
  • Hands-on workshops
  • Experienced instructor-guided demonstrations
  • Q&A on student-specific problem
  • Experienced instructor-guided demonstration  

Tasks

Deep Learning Inferentials
  • Predict process variables with greater accuracy in nonlinear regions & across different product slates
  • Utilize Deep Learning algorithms such as GRU (Gated Recurrent Unit) and LSTM (Long Short-Term Memory) to develop dynamic inferential models
  • Easily augment models with newly available data
  • Leverage reports and dashboards to monitor KPIs in real time for inferentials with Aspen Watch
  • Workshop: Develop a Deep Learning dynamic inferential from process data

Pre-requisites

  • Familiar with Inferentials and APC concepts, able to implement and maintain inferential and APC applications is helpful

Subsequent Courses

  • APC170: Introduction to Aspen Inferential Qualities - Developing and Deploying Inferential Soft Sensors for Industrial Processes

Agenda

Deep Learning Inferentials
  • Predict process variables with greater accuracy in nonlinear regions & across different product slates
  • Utilize Deep Learning algorithms such as GRU (Gated Recurrent Unit) and LSTM (Long Short-Term Memory) to develop dynamic inferential models
  • Easily augment models with newly available data
  • Leverage reports and dashboards to monitor KPIs in real time for inferentials with Aspen Watch
  • Workshop: Develop a Deep Learning dynamic inferential from process data

Register for a Class

Date Class Type Location Price Language
Date(s): 07/23/2021 - 07/23/2021 Type: Application Workshop Price: (USD) 99.00 Language: English Register

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.