One of the goals of predictive maintenance is to estimate theremaining useful life (RUL) of a system. RUL is the time between asystem’s current condition and failure. Depending on your system,time can be represented in terms of days, flights, cycles, or any otherquantity.
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
White Paper: Overcoming Four Common Obstacles to Predictive Maintenance with MATLAB and Simulink
eBook: Digital Twins for Predictive Maintenance
eBook: Predictive Maintenance with MATLAB
eBook: Introduction to Predictive Maintenance with MATLAB
Develop predictive maintenance project with MATLAB, Simulink, and a full set of products for predictive maintenance.