Estimating Remaining Useful Life with MATLAB

Predictive Maintenance: Estimating Remaining Useful Life (RUL) 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.

In this ebook, you will learn:

What the remaining useful life of a machine is and why RUL estimation is important for predictive maintenance

The three most common RUL estimator models: similarity, survival, and degradation

Which RUL estimator model you need to use based on the system data you have

Cover_Estimating Remaining Useful Life with MATLAB

eBook: Extracting Condition Indicators with MATLAB

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eBook: Digital Twins for Predictive Maintenance

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