[PRE REVIEW]: CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds

[editorialbot]

Submitting author: @lucianolorenti (Luciano Rolando Lorenti)
Repository: https://github.com/lucianolorenti/ceruleo
Branch with paper.md (empty if default branch):
Version: v2.0.3
Editor: @matthewfeickert
Reviewers: @AnnikaStein, @ulf1, @Athene-ai
Managing EiC: George K. Thiruvathukal

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Author instructions

Thanks for submitting your paper to JOSS @lucianolorenti. Currently, there isn't a JOSS editor assigned to your paper.

@lucianolorenti if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). In addition, this list of people have already agreed to review for JOSS and may be suitable for this submission (please start at the bottom of the list).

Editor instructions

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Software report:

github.com/AlDanial/cloc v 1.88  T=0.17 s (846.8 files/s, 132911.6 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
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Python                          98           3700           2870          10254
Jupyter Notebook                 6              0           3658            549
TeX                              2             67              0            372
Markdown                        30            185              0            304
YAML                             5             37             16            235
TOML                             1              5              0             37
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SUM:                           142           3994           6544          11751
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gitinspector failed to run statistical information for the repository

[editorialbot]

Wordcount for paper.md is 779

[editorialbot]

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

[editorialbot]

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

OK DOIs

- None

MISSING DOIs

- 10.1109/tii.2014.2349359 may be a valid DOI for title: Machine learning for predictive maintenance: A multiple classifier approach
- 10.1109/phm.2008.4711422 may be a valid DOI for title: Recurrent neural networks for remaining useful life estimation
- 10.3233/atde210095 may be a valid DOI for title: Exploring the Transition from Preventive Maintenance to Predictive Maintenance Within ERP Systems by Utilising Digital Twins
- 10.1007/s10489-021-03004-y may be a valid DOI for title: Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects
- 10.1109/rams.2015.7105079 may be a valid DOI for title: Cost effectiveness of condition based maintenance in manufacturing
- 10.3390/math9233137 may be a valid DOI for title: Xcm: An explainable convolutional neural network for multivariate time series classification
- 10.1109/icit.2019.8754956 may be a valid DOI for title: Temporal convolutional memory networks for remaining useful life estimation of industrial machinery
- 10.1016/j.asoc.2020.106113 may be a valid DOI for title: Remaining useful life prediction using multi-scale deep convolutional neural network

INVALID DOIs

- https://doi.org/10.1016/j.conengprac.2021.104969 is INVALID because of 'https://doi.org/' prefix

[lucianolorenti]

@editorialbot generate pdf
@editorialbot check references

[editorialbot]

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

[lucianolorenti]

@editorialbot check references

[editorialbot]

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

OK DOIs

- 10.1109/tii.2014.2349359 is OK
- 10.1109/phm.2008.4711422 is OK
- 10.1016/j.ress.2017.11.021 is OK
- 10.3233/atde210095 is OK
- 10.1007/s10489-021-03004-y is OK
- 10.1109/rams.2015.7105079 is OK
- 10.48550/arXiv.1907.12207 is OK
- 10.3390/math9233137 is OK
- 10.1109/icit.2019.8754956 is OK
- 10.1016/j.asoc.2020.106113 is OK
- 10.1016/j.conengprac.2021.104969 is OK

MISSING DOIs

- None

INVALID DOIs

- None

[lucianolorenti]

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Hello @lucianolorenti, here are the things you can ask me to do:

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@editorialbot generate my checklist

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[arfon]

@lucianolorenti - thanks for your submission to JOSS. We're currently managing a large backlog of submissions and the editor most appropriate for your area is already rather busy.

For now, we will need to waitlist this paper and process it as the queue reduces. Thanks for your patience!

[lucianolorenti]

Hi @arfon
Thank you very much for your message. No problem, we understand the situation.
I'm looking forward to the next step
Thank you very much

[kyleniemeyer]

@editorialbot invite @matthewfeickert as editor

[editorialbot]

Invitation to edit this submission sent!

[matthewfeickert]

@editorialbot assign me as editor

[editorialbot]

Assigned! @matthewfeickert is now the editor

[matthewfeickert]

👋 @lucianolorenti I'll be serving as the editor for your review. I'm going to begin the process of finding reviewers, so please be patient while I work on this, though feel free to ask me any questions that you have. 👍 As @editorialbot already mentioned at the top of the Issue, we welcome any suggestions for potential reviewers, though please mention them without tagging them with an @.

As there has been some delay since your submission entered pre-review (sorry) can you also confirm that you still having the time in the near future to engage in a review? We fully appreciate that in the interim you might have some additional responsibilities and time constraints that have come up that you might need to resolve before you would have time to proceed. In that case, we can simply delay starting the review (keep it under waitlisted) until you have time again.

[matthewfeickert]

👋 @ulf1 @arunmano121 As you are JOSS reviewers with domain expertise in Engineering, Machine Learning, and Python would you be willing to help review this submission? Please let me know if you have any questions.

[lucianolorenti]

Hello @matthewfeickert

Thank you for reaching out to me and for updating me on the progress of my submission. I confirm you that I am still available and have the time to engage in the review process.

Although I have been busy lately, I am confident that I can handle the review process. If there are any specific timelines or deadlines that I need to keep in mind, please do let me know.

[matthewfeickert]

Thanks @lucianolorenti, that's great to hear. There are no specific deadlines that you need to be aware of. I just wanted to make sure that you would still be available to engage with the review.

[matthewfeickert]

👋 @AnnikaStein @karanprime As you are JOSS reviewers with domain expertise in Physics/Engineering, Machine Learning, and Python would you be willing to help review this submission? Please let me know if you have any questions.

[matthewfeickert]

@editorialbot add @AnnikaStein as reviewer

[editorialbot]

@AnnikaStein added to the reviewers list!

[matthewfeickert]

👋 @tomelse @Athene-ai As you are JOSS reviewers with domain expertise in Physics/Engineering, Machine Learning, and Python would you be willing to help review this submission? Please let me know if you have any questions.

[ulf1]

wave @ulf1 @arunmano121 As you are JOSS reviewers with domain expertise in Engineering, Machine Learning, and Python would you be willing to help review this submission? Please let me know if you have any questions.

Yes I'm

[matthewfeickert]

@editorialbot add @ulf1 as reviewer.

[editorialbot]

@ulf1 added to the reviewers list!

[Athene-ai]

👋 @tomelse @Athene-ai As you are JOSS reviewers with domain expertise in Physics/Engineering, Machine Learning, and Python would you be willing to help review this submission? Please let me know if you have any questions.

Yes I am

[matthewfeickert]

@editorialbot add @Athene-ai as reviewer.

[editorialbot]

@Athene-ai added to the reviewers list!

[matthewfeickert]

Excellent! I'm very happy to have 3 reviewers for this. :)

[matthewfeickert]

@lucianolorenti We now have three reviewers (@AnnikaStein, @ulf1, @Athene-ai) so I'll start the review. 👍

[matthewfeickert]

@editorialbot start review

[editorialbot]

OK, I've started the review over in #5294.