Building Machine Learning Agents using Aspen Mtell

This course will help you prepare for the certification exam and the exam fee is waived with this course.


The Aspen Mtell application is a condition monitoring solution that uses automated Machine Learning to stop machines from breaking down, makes them last longer, reduces maintenance costs, and increases the net product output of any process.


This course will prepare you to build Agents for use in a Mtell real-time monitoring solution. You will learn the Aspen Mtell implementation methodology to create Machine Learning Agents for a single asset, practice agent tuning to create the most accurate agent with the earliest detection of failures. You will use Aspen Mtell Failure Agents to analyze past failure data and the precise patterns that match degrading conditions that lead to failure. Additionally, you will learn to deploy machine learning agents to fully specify your input data to create agents ready for continuous 24/7 protection of critical plan assets.

Audience:

Engineers, Consultants or Managers focused on Preventative Maintenance and System Reliability.

Training Details

  • Course Id:

    MPM121

  • Duration:

    3 day(s)

  • CEUs Awarded:

    2.1

  • Level:

    Introductory

Benefits

You will:

  • Understand how to navigate the Mtell interface
  •  Import and classify work orders
  • Map specific physical sensors to corresponding historian tags aliased as generic equipment roles
  • Analyze and clean data
  • Learn how to create, train, and evaluate Machine Learning Agents
  • Deploy an agent live for 24/7 asset monitoring

Approach

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

Agenda

Asset Performance Management and Aspen Mtell Overview

  • Explain the purpose of using Aspen Mtell
  • Define key terminology used in explaining the behavior of the application
  • Identify the main applications used to control Aspen Mtell
  • Describe the software architecture
  • Explain the workflow for the standard implementation strategy


Aspen Mtell System Manager

  • Open and Navigate the Aspen Mtell System Manager
  • Prepare Asset Hierarchy CSV files for systems where live EAM connections are not available
  • Workshop: Connect to an existing Aspen Mtell Database
  • Workshop: Import Asset Hierarchy


Aspen Mtell Agent Builder

  • Open and navigate the Aspen Mtell Agent Builder
  • Import and Update Work Orders
  • Workshop: Import known failure history 


Equipment Set Profile

  • Explain the Purpose of an Equipment Set Profile
  • Import an Equipment Set Profile
  • Explain the Hierarchy below the Equipment Set Profile
  • Workshop: Generate Equipment Set Profile
  • Workshop: Import and Clean Data

 

Machine Learning Agents

  •  Identify the different types of Machine Learning (ML) Agents
  • Explain the purpose of each ML Agent
  • List the expected inputs and outputs of each ML Agent
  • Explain how the different ML Agents work together
  • Describe how Transfer Learning works



Hidden Failure Agent

  • Explain the purpose of the Hidden Failure Agent
  • Explain the Probability Trend and description bars
  • Workshop: Generate and Analyze a Hidden Failure Agent


Anomaly Agent

  • Explain the purpose of the Anomaly Agent
  • Explain the Probability Trend and description bars
  • Build and optimize an Anomaly Agent
  • Workshop: Generate and Tune Anomaly Agents

 

Failure Agent

  • Explain the purpose of the Failure Agent
  • Explain the Probability Trend and description bars of Standard and Maestro-enabled Failure Agents
  • Be able to build and optimize a standard Failure Agent
  • Be able to build and optimize a Maestro-enabled Failure Agent
  • Workshop: Generate and Tune Failure Agents 

 

Live Agent Deployment

  • Deploy a Machine Learning Agent from the Agent Builder​
  • Deploy a Machine Learning Agent from the System Manager​
  • Specify Live Agent settings
  • Workshop: Deploy Agents Live

 

Transfer Learning

  • Explain Transfer Learning
  • Use Transfer Learning to apply learning gained from one asset to multiple assets
  • Workshop: Apply transfer learning

 

Live and Trained Agent Decommissioning

  • Disable a Live Agent
  • Decommission a Trained Agent
  • Decommission an Agent to deploy an improved one
  • Workshop: Decommissioning an Agent

 

Rule Policy Agents

  • Explain the difference between Rule Policy Agents and Machine Learning Agents
  • Perform a Rule Analysis
  • Create a Rule Policy Agent
  • Workshop: Creating a Rule Policy Agent


Aspen Mtell Alert Manager

  • Explain the purpose and use of Alert Manager
  • Launch Alert Manager and navigate the user interface
  • Acknowledge and close alerts in Alert Manager
  • Workshop: Review Alerts in Alert Manager

Register for a Class

Date Class Type Location Price Language
Date(s): 05/7/2024 - 05/9/2024 Type: Public Virtual Location: Virtual-Americas Price: (USD) 2700.00 Language: English Register
Date(s): 06/4/2024 - 06/6/2024 Type: Public Virtual Location: Virtual-APAC Price: (USD) 900.00 Language: English Register
Date(s): 05/28/2024 - 05/30/2024 Type: Public Virtual Location: Virtual-EMEA Price: (USD) 3000.00 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.