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...
Add a link to the file in GitHub (master branch) in the doc comments. This way it will link in the generated documents
**Requirement Text** add penalty in loss function if outside range **Background Information** Outputs frequently have an expected range, and we want to encourage the model to learn something that will...
Example generating future loading schemes from planned activities. This is a more realistic scheme. Could be added to end of future loading example
Example doing battery characterization using Chetan's method. This is a 3-step process
**Requirement Text** Implement single phase motor model **Background Information** The SWS project has developed a single phase motor model. This is faster and simpler than the implemented method. We'll want...
**Requirement Text** What must this feature do, specifically - this is the thing to test to. E.g., Ability to simulate model until a specified event has been met. **Background Information**...
** Test to Update ** LSTM ** Change Recommended ** Add more robust and complete tests
**Requirement Text** Implement simple ML model between output or state -> event_state/threshold with wider class to combine with state transition **Suggested Solution** PrognosticsDataModel.from_data(data, StateTransitionModel, EventModel) or PrognosticsDataModel(state_transition_model, event_model) **DoD** -...
New example pulling data from datasets subpackage- using that to build a model
**Requirement Text** Add ability to propagate hidden state forward in LSTMStateTransitionModel **Background Information** LSTM uses a hidden state that contains information valuable for accurate prediction **Suggested Solution** There are a...