Ontology highlight
ABSTRACT:
SUBMITTER: Kanno Y
PROVIDER: S-EPMC8772318 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature
Kanno Yasuhiro Y Kaneko Hiromasa H
ACS omega 20220106 2
In chemical plants and other industrial facilities, the rapid and accurate detection of the root causes of process faults is essential for the prevention of unknown accidents. This study focused on deep learning while considering the different phenomena that can occur in industrial facilities. A deep convolutional neural network with deconvolution and a deep autoencoder (DDD) is proposed. DDD assesses the process dynamics and the nonlinearity between process variables. During the operation of DD ...[more]