Distributed Robust Process Monitoring Based on Optimized Denoising Autoencoder With Reinforcement Learning
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DOI: 10.1109/tim.2022.3147887
Abstract: Global monitoring for complex large-scale chemical processes is often challenging because of complex correlations among variables. This article proposes an optimized denoising autoencoder (DAE)-based distributed monitoring method to achieve efficient and robust monitoring of multiunit,… read more here.
Keywords: denoising autoencoder; reinforcement learning; optimized denoising; monitoring ... See more keywords