An Application of Deep Learning to Detect Process Upset during Pharmaceutical Manufacturing using Passive Acoustic Emissions

Published: 19 Aug 2018 | Version 2 | DOI: 10.17632/y674pkr6vd.2
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Description of this data

Acoustic emissions during distributor plate blockage in a top spray fluidized bed.

Experiment data files

Latest version

  • Version 2

    2018-08-19

    Published: 2018-08-19

    DOI: 10.17632/y674pkr6vd.2

    Cite this dataset

    Carter, Allan; Briens, Lauren (2018), “An Application of Deep Learning to Detect Process Upset during Pharmaceutical Manufacturing using Passive Acoustic Emissions”, Mendeley Data, v2 http://dx.doi.org/10.17632/y674pkr6vd.2

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Institutions

Western University

Categories

Engineering

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CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

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This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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