Predictive Maintenance with MATLAB

This two-day course focuses on data analytics, signal processing, and machine learning techniques needed for predictive maintenance and condition monitoring workflows. Attendees will learn how to use MATLAB to import data, extract features, and estimate the condition and remaining useful life of equipment.

Topics include:

  • Importing and organizing data
  • Unsupervised anomaly detection
  • Creating supervised fault classification models
  • Preprocessing to improve data quality
  • Extracting time and frequency domain features
  • Estimating Remaining Useful Life (RUL)
  • Interactive workflows with apps

Prerequisites

See detailed course outline