Predictive Maintenance with Digital Twins and Machine Learning
This course introduces predictive maintenance, combining core concepts with practical tools. You’ll learn data preprocessing, feature extraction, and fault classification, supported by hands-on MATLAB examples. We’ll cover forecasting Remaining Useful Life (RUL) and using Simulink to generate and analyze fault scenarios. You’ll also explore deployment and integration strategies to apply your models in real operations. […]
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