Enhancing Robotic Uptime:
Predictive Maintenance Using Classification Models
In this session, you'll learn how to build a predictive maintenance model for robot arms using Altair AI Studio, focusing on key features like Hours in Service and Payload Utilization to predict when maintenance is likely needed.
We’ll walk through preparing the dataset and using a classification model to forecast potential breakdowns. This hands-on experience is designed to give you practical insights into how predictive maintenance can help minimize downtime and improve overall efficiency in industrial operations.
Agenda
- Introduction to Predictive Maintenance
- What is predictive maintenance, and why is it essential for robotic systems?
- A quick look at the key features we'll be using and why they matter
- Data Preparation & Model Development
- An overview of how to prep your data for model building
- How to apply a classification model to predict breakdowns
- Evaluating your model with cross-validation
- Interactive Model Building
- Follow along as we build the model together
- Time for questions as we go along
- Wrap-Up & Practical Applications
- Main takeaways and how you can apply this in real-world scenarios
- Final Q&A to address any remaining questions
Speaker
Joshua Philip
Technical Specialist - Data Science