Description:

This course covers the implementation of Tiny Machine Learning (TinyML) techniques for analyzing vibrations in machinery to enable predictive maintenance strategies. Students will learn how to collect vibration data, preprocess it for analysis, deploy TinyML models on edge devices, and interpret the results to detect potential machinery failures before they occur.

Key Highlights:

• Collect and preprocess vibration data
• Deploy TinyML models on edge devices
• Detect potential machinery failures proactively

What you will learn:

• Understanding Vibration Analysis
  Comprehensive overview of vibration analysis techniques and their applications in predictive maintenance
• TinyML Implementation
  Hands-on experience in implementing TinyML models for vibration data analysis on edge devices
• Predictive Maintenance Strategies
  Learn how to interpret TinyML results for predictive maintenance of machinery based on vibration patterns