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The Prognostic Algorithm Package is a python framework for model-based prognostics (computation of remaining useful life) of engineering systems, and provides a set of algorithms for state estimation...

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**Requirement Text** Consider automatic Kalman Filter Linearization for non-linear models **Background Information** KF algorithm can only be used with linear models. There are approaches to linearize non-linear models (e.g., DMD...

enhancement
component:State Estimators

Add a link to the file in GitHub (master branch) in the doc comments. This way it will link in the generated documents

Consider EstimateProfile data structure (like prediction profile)

test each predictor 1. to time with no events, 2. to no horizon, no events (should give error) 3. to events with horizon that occurs before 4. to subset of...

CI/CD

**Requirement Text** Implement non-iterative prediction method **Background Information** Current approaches rely on iterating to a certain point of interest (e.g., Time of Event, save point). There are some approaches that...

enhancement
component: Predictors

ValueError: math domain error

bug

**Requirement Text** Create standard GUI for one or more systems. **Background Information** GUIs are important for monitoring systems/ predictions in real time. A standard interface that could receive at state...

enhancement
component: visualization

**Requirement Text** Implement monotonicity for a series of state estimates. **Background Information** One of four proposed implementations for monotonicity. **Suggested Solution** Given a series of state estimates taken at different...

enhancement

The KF issue introduced in #223 was fixed without adding tests as part of a hot fix Add tests to make sure the issue doesn't crop up again