prog_models
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nasa
The NASA Prognostic Model Package is a Python framework focused on defining and building models for prognostics (computation of remaining useful life) of engineering systems, and provides a set of pro...
**Requirement Text** Add configurable ability to normalize inputs for LSTMStateTransitionModel.from_data **Background Information** Normalizing inputs is important for performance **Suggested Solution** Simple normalization - (value-mean) / std - will then have...
**Requirement Text** Add option to shuffle the data being used to train the LSTM **DoD** - [ ] Add feature - [ ] Add to example
Add tests of vectorization support for all included models and Surrogate Models
**Requirement Text** Implement different methods for handling state limits. E.g., 1. Start over at min (e.g., angle going to 360°, then starting at 0 **Background Information** Recommendation from Ali- Currently...
**Requirement Text** Extend #313 to stop at the end of each segment of loading if loading is piecewise **Background Information** Auto steps adjusts the step size based on save frequency...
**Requirement Text** Add support for step size to be set automatically, so that it the simulator determines the step size to best meet the save_freq and save_pts, with an optional...
**Requirement Text** Extend #313 to capture dt close to end of event **Background Information** Auto step size adjusts it automatically **Suggested Solution** Potential approaches: 1. If state of event is...