Supplementary data for “Low-Rank Constrained Multi-Scale Convolutional Autoencoder for Quality-Related Industrial Process Monitoring”

Description

This dataset contains the Tennessee Eastman process dataset and the multiphase flow process dataset used in the experimental section of the manuscript. The data are provided to support reproducibility of the quality-related process monitoring results reported in the paper.

Institutions

• East China University of Science and Technology

  Shanghai, Shanghai

Categories

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