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Summary

The Prognostics Algorithm Library is a suite of algorithms implemented in the MATLAB programming language for model-based prognostics (remaining life computation). It includes algorithms for state estimation and prediction, including uncertainty propagation. The algorithms take as inputs component models developed in MATLAB, and perform estimation and prediction functions. The library allows the rapid development of prognostics solutions for given models of components and systems. Different algorithms can be easily swapped to do comparative studies and evaluations of different algorithms to select the best for the application at hand.

Algorithm Library

The algorithm library is organized into two packages:

+Observers
+Prognosis

Observers

The Observers package contains the following state estimation algorithms:

• Kalman Filter
• Extended Kalman Filter
• Unscented Kalman Filter
• Particle Filter

Prognosis

The Prognosis package contains the following classes:

• Predictor
• Prognoser