ProgPy: Python Packages for Prognostics and Health Management of Engineering Systems

Python Jupyter Notebook Submitted 12 December 2022Published 06 July 2023
Review

Editor: @kellyrowland (all papers)
Reviewers: @tbsexton (all reviews), @nkrusch (all reviews)

Authors

Christopher Teubert (0000-0001-6788-4507), Katelyn Jarvis, Matteo Corbetta (0000-0002-7169-1051), Chetan Kulkarni, Matthew Daigle

Citation

Teubert et al., (2023). ProgPy: Python Packages for Prognostics and Health Management of Engineering Systems. Journal of Open Source Software, 8(87), 5099, https://doi.org/10.21105/joss.05099

@article{Teubert2023, doi = {10.21105/joss.05099}, url = {https://doi.org/10.21105/joss.05099}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {87}, pages = {5099}, author = {Christopher Teubert and Katelyn Jarvis and Matteo Corbetta and Chetan Kulkarni and Matthew Daigle}, title = {ProgPy: Python Packages for Prognostics and Health Management of Engineering Systems}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Prognostics Health Management Degradation Simulation Diagnostics State Estimation Prediction CBM+ IVHM PHM

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066