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DOE OSTI · 2403293

Development of a Multi-Sensor Data Science System for Monitoring a Solvent Extraction Process [Slides]

Walker, Cody McBroom·Cardenas, Edna S.
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Abstract

Goal one of this LDRD is to integrate a variety of atypical sensors into a system of centrifugal contactors for signal discovery. Goal two is to use machine learning, data analytics, and signal analysis techniques to extract features that identify process stages and equipment usage in various stages of operation.

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12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIESmachine learningSolvent Extraction

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BibTeXRIS

Walker, Cody McBroom, Cardenas, Edna S.. 2022-11-16. Development of a Multi-Sensor Data Science System for Monitoring a Solvent Extraction Process [Slides]. https://doi.org/10.2172/2403293

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