[PRE REVIEW]: pyOMA2: a Python module to conduct operational modal analysis

[editorialbot]

Submitting author: @dagghe (Dag)
Repository: https://github.com/dagghe/pyOMA2
Branch with paper.md (empty if default branch): Joss
Version: 1.0.0
Editor: @faroit
Reviewers: Pending
Managing EiC: Kyle Niemeyer

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Software report:

github.com/AlDanial/cloc v 1.90  T=0.10 s (911.3 files/s, 184143.6 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                          41           2054           5228           6760
Markdown                         7            194              0            520
reStructuredText                28            386            581            392
YAML                             5             26             45            191
TeX                              1             20              1            173
Jupyter Notebook                 4              0           1585            170
TOML                             1             19             19            103
INI                              1              7              0             36
DOS Batch                        1              8              1             26
make                             2             11              9             21
SVG                              1              0              1              3
-------------------------------------------------------------------------------
SUM:                            92           2725           7470           8395
-------------------------------------------------------------------------------

Commit count by author:

    70	Dag
    55	dagghe
    51	DiegoMargoni
    48	Diego Margoni
     3	Dag Pasca
     1	Alex Kaszynski
     1	marco-rosso-m

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 647

✅ The paper includes a Statement of need section

[editorialbot]

License info:

✅ License found: MIT License (Valid open source OSI approved license)

[editorialbot]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- None

🟡 SKIP DOIs

- No DOI given, and none found for title: Subspace-based system identification and fault det...
- No DOI given, and none found for title: Modal identification of output-only systems using ...
- No DOI given, and none found for title: Damping estimation by frequency domain decompositi...
- No DOI given, and none found for title: Introduction to operational modal analysis
- No DOI given, and none found for title: Subspace identification for linear systems: Theory...
- No DOI given, and none found for title: Towards a Cloud-Based Platform for Structural Heal...

❌ MISSING DOIs

- 10.1016/j.jsv.2021.116207 may be a valid DOI for title: Robust multi-dataset identification with frequency...
- 10.1006/mssp.1999.1249 may be a valid DOI for title: Reference-based stochastic subspace identification...
- 10.1016/j.ymssp.2013.01.012 may be a valid DOI for title: Efficient multi-order uncertainty computation for ...
- 10.1155/2004/523692 may be a valid DOI for title: The PolyMAX frequency-domain method: a new standar...
- 10.1016/j.ymssp.2009.10.024 may be a valid DOI for title: A frequency–spatial domain decomposition (FSDD) me...
- 10.1007/978-1-4939-0767-0 may be a valid DOI for title: Operational modal analysis of civil engineering st...
- 10.1007/s11831-012-9069-x may be a valid DOI for title: System identification methods for (operational) mo...
- 10.1016/j.ymssp.2012.11.011 may be a valid DOI for title: Uncertainty quantification for modal parameters fr...
- 10.1016/j.conbuildmat.2020.121069 may be a valid DOI for title: Two-years static and dynamic monitoring of the san...
- 10.1016/j.engstruct.2020.110593 may be a valid DOI for title: Dynamic identification and model updating of an ei...
- 10.1016/j.jcsr.2023.107937 may be a valid DOI for title: Intensity and location of corrosion on the reliabi...
- 10.1177/10775463231213423 may be a valid DOI for title: Convolutional neural network–based structural heal...
- 10.1007/978-3-031-36663-5_5 may be a valid DOI for title: Examining Methods for Modeling Road Surface Roughn...
- 10.1016/j.istruc.2023.04.115 may be a valid DOI for title: Interoperability between BIM and FEM for vibration...

❌ INVALID DOIs

- None

[editorialbot]

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

[editorialbot]

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[kyleniemeyer]

Hello @dagghe, I see in the submission notes that your original submission of pyOMA was rejected from JOSS (#3264), but was published at SoftwareX.

Can you provide more detail on how this version differs from the original?

[dagghe]

Hi @kyleniemeyer, the old module was more a collection of functions with a gui, while the new module leverages classes flexibility so to offer many more functionalities such as the ability to process multi-setup experiments, to have interactive plots to select the poles (or peaks) to extract, the possibility to define the geometry of the tested structure and plot/animate the mode shapes, storing and retrieving results and more. You can check by yourself if you want to, new repo: https://github.com/dagghe/pyOMA2
Old repo: https://github.com/dagghe/PyOMA

[kyleniemeyer]

@editorialbot invite @faroit as editor

Hi @faroit, could you edit this? To my eyes it seems in the neighborhood of your signal processing background.

[editorialbot]

Invitation to edit this submission sent!

[faroit]

@editorialbot assign @faroit as editor

@kyleniemeyer sure!

[editorialbot]

Assigned! @faroit is now the editor

[dagghe]

Hi @faroit, I had a look at the JOSS reviewers list and think that the following user could be a fit based on their background: e-dub, Nitnelav, joaoadelazzari, CWillberg, arunmano121.