DTA - FH Aachen
  • Preamble

Activity: Digital Twin for Virtual Commissioning

  • Digital Twin of a machine plant
  • Siemens NX MCD: Simple Robotic Arm Modelling
  • Virtual Commissioning of a Production Line

Activity: Data Preparation for User Digital Twins

  • Operator Digital Twin for Assistance Systems
  • OEE Evaluation with Python
    • 1. Learning Outcome
    • 2. Task
    • 3. Setting up the work environment
    • 4. Understanding the work data
    • 5. Basic program structure
    • 6. Data preparation - Work data
    • 7. OEE calculation
    • 8. Visualization
    • 9. Data evaluation
    • 10. Problem Solving

Activity: Digital Twin of a Robot Dog

  • Digital Twin of a Robot Dog
  • Bittle

Activity: Digital Twin of a Robot Dog for pupils

  • Der Roboterhund Bittle 🐕

Additional information

  • Arduino Basics
  • TIA Portal Basics
  • TIA OPC-UA
  • PLCSIM Advanced
  • OPC-UA client
  • PLC-Basics
  • Siemens NX MCD
  • Node Red Basics
  • Visual Studio Code Basics
  • Introduction to Version Control with Git
DTA - FH Aachen
  • »
  • OEE Evaluation with Python

OEE Evaluation with Python

In this course, work data from a manual working station will be analyzed according to different KPI, such as the Overall Equipment Effectiveness (OEE).

Contents:

  • 1. Learning Outcome
    • 1.1. Requirements
    • 1.2. What you need
    • 1.3. Sources and Resources
  • 2. Task
  • 3. Setting up the work environment
  • 4. Understanding the work data
  • 5. Basic program structure
  • 6. Data preparation - Work data
    • 6.1. Base value calculation
  • 7. OEE calculation
    • 7.1. Work information per day
    • 7.2. OEE parameters per day
  • 8. Visualization
    • 8.1. OEE graph
    • 8.2. Scatter plot - cycle times
  • 9. Data evaluation
  • 10. Problem Solving
    • 10.1. Plotting
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© Copyright 2023, Prof. Jörg Wollert (FH Aachen).

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