Build Agents, Asset Templates, and KPIs in Aspen Mtell Studio

You will:

• Obtain a general familiarity with the Aspen Mtell system and other tools, Aspen Mtell System Manager, Aspen Mtell Agent Builder, and Aspen Mtell Alert Manager.  
• Understand common use cases for equipment monitoring that can be programmed within Aspen Mtell Builder.  
• Create and implement KPIs, condition-based agents, and failure mode monitoring.  
• Learn how to monitor asset health from agents and KPIs in Aspen Mtell Alert Manager.  

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

MPM126 - Monitor Equipment Health in Aspen Mtell Studio

MPM121 - Building Machine Learning Agents using Aspen Mtell

MPM131 - Managing Alerts using Aspen Mtell Alert Manager

MPM221 - Bring Your Own Model into Aspen Mtell

Alongside MPM126 - Monitor Equipment Health in Aspen Mtell Studio, this course provides the entire Aspen Mtell Studio training covered in MPM122 - Monitor Equipment Health with Asset Templates in Aspen Mtell Studio

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 Builder Overview and User Interface 

• Navigate the Aspen Mtell Builder User Interface 
• Understand the different ways that equipment can be monitored within Aspen Mtell  
• Explain the purpose and benefits of each type of monitoring 



Add New Sensor Roles and KPIs and Manage Templates

• Create and update a sensor role  
• Add calculator sensors as sensor roles  
• Define design properties and stream properties
• Define and create a KPI 
• Manage asset templates
• Workshop: Add Stream Properties, Sensor Roles, Calculated Sensors, Rule Agents, and KPIs 

Strategy and Rule Agents 

• Explain condition-based monitoring  
• Describe and define an offline condition  
• Understand and display failure modes
• Define root cause conditions 
• Workshop: Define Strategy, Condition-Based Monitoring, Failure Modes, and Causes & Advice

Machine Learning Agents 

• Understand the purpose of a Machine Learning Agent
• Describe the pre-requisites and evaluate the benefits of a Machine Learning Agent
• Explain the differences between different types of Machine Learning Agents
• Build and Deploy a Machine Learning Agent
• Workshop: Create a Machine Learning Agent

View Alerts in Aspen Mtell Alert Manager  

• Explain the purpose of Aspen Mtell Alert Manager  
• Navigate Alert Manager to view alerts  
• Learn how to properly respond to open alerts  
• Identify the likely cause of open alerts
• Workshop: View Agent Results in Aspen Mtell Alert Manager  

To request additional training options, contact us at training@aspentech.com