nasa/progpy
The NASA Prognostic Python Packages is a Python framework focused on defining and building models and algorit for prognostics (computation of remaining useful life) of engineering systems, and provides a set of models and algorithms for select components developed within this framework, suitable for use in prognostic applications.
PythonNOASSERTION
Issues
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PrognosticsModel Cards
#13 opened - 0
Rework data storage to use Pandas
#12 opened - 3
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Piecewise - Pregenerate loads
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Final load in Piecewise loading
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Parallelize MC
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Explore connectivity with Pomegranate
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__sizeof__
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Trajectory generation future work
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Create Conda dist
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AutoPublish Release Candidate
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PCE future states
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Periodic Windows
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Window State Container
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Direct model lstm
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Dispersion Metric in Ensemble Model
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Gaussian Process Regression Model
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LSTM - Performance Metrics
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Sampling methods: Latin Hypercube
#24 opened - 1
Multiple Output layers
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CNN State Transition Model
#43 opened - 1
LSTM Model reduction
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K-fold validation
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LSTMStateTransitionModel: Data shuffling
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UT Predictor with no events
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Explore Compatibility with Simpy
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Kalman predictor
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Extended Kalman Filter
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Dataset: CMAPSS 2
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Eventless Model Example
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Methods for estimating noise parameters
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GSAP Integration
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Battery Pack Model
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Capacitor Model
#27 opened - 1
Battery - Ambient Correlation Factor
#35 opened - 1
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Explore interoperability with trick
#61 opened - 0
GPU Support for sim parallelization
#115 opened - 0
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Battery Model with Thermal Runaway
#36 opened