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.
Fixes a bug where when noise is transferred from one model to another (i.e., the noise from one model is used to set the other), the missing keys in *_noise are not set, because the object is already a DictLikeMatrix wrapper.
This becomes an issue with models with dynamic states and events. The first of these models is being tested in the SWS project
Fixes a bug where when noise is transferred from one model to another (i.e., the noise from one model is used to set the other), the missing keys in *_noise are not set, because the object is already a DictLikeMatrix wrapper.
This becomes an issue with models with dynamic states and events. The first of these models is being tested in the SWS project