Initial Release

Introducing the NASA Prognostics Algorithms Package. The NASA Prognostics Algorithm Package is a framework for model-based prognostics (computation of remaining useful life) of engineering systems. It includes algorithms for state estimation and prediction, including uncertainty propagation. The algorithms use prognostic models (see prog_models) to perform estimation and prediction. The package enables rapid development of prognostics solutions for given models of components and systems. Algorithms can be swapped for comparative studies and evaluations

Features of the initial release include:

• Unscented Kalman Filter and Particle Filter algorithms for performing state estimation using a model from prog_models
• Monte Carlo algorithm for predicting using a model from prog_models
• Metrics for measuring the predictive performance
• Ability to create new state estimation or prediction algorithms
• User Documentation
• Examples of package use, including:
  • Performing prognostics with a model from prog_models
  • Benchmarking predictive performance
  • Using the measurement_eqn feature
  • Creating new state estimators
  • Running past data in playback
• User tutorial
• Template for creating new state estimators or predictors