Predictive Maintenance: Extracting Condition Indicators with MATLAB

Learn how to extract useful features from your data and train machine learning models with the extracted features to develop predictive maintenance algorithms in MATLAB®.


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In this ebook, you will learn:

When designing efficient power electronics systems, key challenges include:

What condition indicators or features are and how you       

       can  derive them using signal-based methods.

How different features can impact the accuracy of a fault

       classification algorithm.

How to identify distinctive features and train machine

      learning models for classifying different fault types.

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Develop predictive maintenance project with MATLAB, Simulink, and a full set of products for predictive maintenance.

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