Data set for " CNN-aided Flooding Prognostic in Packed Column using Electrical Capacitance Tomography."

Dataset

Abstract

A dataset is presented for Flooding Prognostic in Packed Column using CNN-aided Electrical Capacitance Tomography (ECT). Numeric data containing measurement of ECT capacitance, pressure drop, liquid hold-up profiles. The ECT system used in this work includes sensors, data acquisition system and a computer with imaging software. The frame rate of the ECT system is up to 714 frames per second. The pressure inside the bed is recorded using pressure meters and data loggers, the pressure meters are placed on the capture column at the top and bottom of the column. The liquid hold-up inside the bed is derived from level meter measurements.
We include data of ECT capacitance, pressure and liquid hold-up during the whole progress. The proposed CNN aided ECT accurately predicts the local liquid hold-up and enables the earliest detection of loading point at the bottom of the packed column and warning of flooding point at the top of the packed column, and therefore is highly suitable for flooding prognostic. This dataset could be used to accurate measurement of loading point and flooding point, and its application to flooding prognostic is significant to maximum the packed column mass transfer efficiency. Data supporting Chen et al (prepare to submission).

Data Citation

Chen, Yuan; Liu, Chang; Jia, Jiabin; Lucquiaud, Mathieu; Yang, Yunjie. (2021). Data set for " CNN-aided Flooding Prognostic in Packed Column using Electrical Capacitance Tomography.", 2019-2021 [dataset]. University of Edinburgh. School of Engineering. Institute of Digital Communication. https://doi.org/10.7488/ds/3151.
Date made available1 Feb 2023
PublisherEdinburgh DataShare
Temporal coverage1 Feb 2019 - 1 Oct 2021

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