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New model type: Direct Models. Direct Models directly map current state and future load to time of event, rather than state-transition models which simulate forward to calculate time of event
New model types that combine multiple models:
EnsembleModel: combinations of multiple models of the same system where results are aggregated
CompositeModel: combinations of models of different systems that are interdependent
New Model Type: Aircraft flight model interface, AircraftModel. Anticipated prognostics applications with the aircraft flight model include estimating and predicting loading of other aircraft systems (e.g., powertrain) and safety metrics.
New Model: Implemented Small Rotorcraft AircraftModel
New DataModel: Polynomial Chaos Expansion (PCE) Direct Surrogate model
Initial transition of Input/State/OutputContainer and SimResult to use Pandas DataFrame. This release will bring the interface more in compliance with DataFrames. v1.6 will fully transition the classes to DataFrames.
Implemented new metrics that can be used when calculating error: Root Mean Square Error (RMSE), Maximum Error (MAX_E), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Dynamic Time Warping (DTW)
Error calculation metric can now be changed in estimate_params
Revamping integration:
New integration methods: RK4 and methods from scipy.integrate
Integration is now set at the model level. For continuous models the specified integration method will apply when calling next_state
Python 3.11 support
Various bug fixes and performance improvements
Acknowledgements
Thank you to our interns Aditya Tummala (@aqitya) and Miryam Strautkalns (@mstraut) for their contributions to this release.
The changes in this release were produced in part by Northrop Grumman under a contributor license agreement. Thank you NGC!
This release includes contributions from NASA's Autonomous Spacecraft Operations (ASO), Data and Reasoning Fabric (DRF), System Wide Safety (SWS), and Transformative Tools & Technologies (TTT) projects. Thank you for your support!
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Release v1.5
Acknowledgements
Thank you to our interns Aditya Tummala (@aqitya) and Miryam Strautkalns (@mstraut) for their contributions to this release.
The changes in this release were produced in part by Northrop Grumman under a contributor license agreement. Thank you NGC!
This release includes contributions from NASA's Autonomous Spacecraft Operations (ASO), Data and Reasoning Fabric (DRF), System Wide Safety (SWS), and Transformative Tools & Technologies (TTT) projects. Thank you for your support!
This discussion was created from the release prog_models v1.5.
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