https://github.com/ml-pse/fluid-catalytic-cracking-unit-dataset-for-process-monitoring-evaluation

Datasets from a fluid catalytic cracking unit to evaluate FDD techniques
https://github.com/ml-pse/fluid-catalytic-cracking-unit-dataset-for-process-monitoring-evaluation

Keywords

fault-detection fault-diagnosis machine-learning process-data-science process-dataset process-monitoring process-systems-engineering

Last synced: 11 months ago
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• Revelant topics? true
• External users? true
• Open source license? true
• Active? true
• Fork? false

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Repository metadata

Datasets from a fluid catalytic cracking unit to evaluate FDD techniques

• Host: GitHub
• URL: https://github.com/ml-pse/fluid-catalytic-cracking-unit-dataset-for-process-monitoring-evaluation
• Owner: ML-PSE
• License: mit
• Created: 2023-09-12T20:15:42.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-03T05:49:30.000Z (over 1 year ago)
• Last Synced: 2024-05-17T01:54:22.213Z (12 months ago)
• Topics: fault-detection, fault-diagnosis, machine-learning, process-data-science, process-dataset, process-monitoring, process-systems-engineering
• Language: Jupyter Notebook
• Homepage: https://mlforpse.com
• Size: 3.64 MB
• Stars: 9
• Watchers: 2
• Forks: 1
• Open Issues: 1
• Releases: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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Owner metadata

• Name: Ankur Kumar
• Login: ML-PSE
• Email:
• Kind: user
• Description:
• Website: https://mlforpse.com/
• Location: Buffalo, NY
• Twitter: MLforPSE
• Company:
• Icon url: https://avatars.githubusercontent.com/u/61020918?u=aa12a149082ffe4d230300023b57ed81244ab971&v=4
• Repositories: 1
• Last ynced at: 2023-05-10T21:32:43.850Z
• Profile URL: https://github.com/ML-PSE

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GitHub Events

Total

• Issues event: 1
• Watch event: 11
• Push event: 1
• Fork event: 1

Last Year

• Fork event: 1
• Issues event: 1
• Push event: 1
• Watch event: 11

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Committers metadata

Last synced: 12 months ago

Name	Email	Commits
Ankur Kumar	6****E	15

Committer domains:

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Issue and Pull Request metadata

Last synced: over 1 year ago

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/ml-pse/fluid-catalytic-cracking-unit-dataset-for-process-monitoring-evaluation

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Score: 2.302585092994046