Estimating Remaining Useful Life with MATLAB

One of the goals of predictive maintenance is to estimate the
remaining useful life (RUL) of a system. RUL is the time between a
system’s current condition and failure. Depending on your system,
time can be represented in terms of days, flights, cycles, or any other
quantity.

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Explore our solutions on Predictive Maintenance

In this ebook, will help you to:

Learn the different estimation models to predict remaining useful life of your system: similarity, survival, and degradation. Find out which RUL model is suitable for your system based on the data and system information you have available.

eBook: Extracting Condition Indicators with MATLAB

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White Paper: Overcoming Four Common Obstacles to Predictive Maintenance with MATLAB and Simulink

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eBook: Digital Twins for Predictive Maintenance

eBook: Predictive Maintenance with MATLAB

eBook: Introduction to Predictive Maintenance with MATLAB

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