Work

Data-driven fault detection for chemical processes using autoencoder with data augmentation

Year: 2021

Type: article

Source: Korean Journal of Chemical Engineering

DOI: 10.1007/s11814-021-0894-1

Authors: Hodong Lee, Changsoo Kim, Dong Hwi Jeong, Jong Min Lee

Institutions: Seoul National University, Korea Institute of Science and Technology, University of Ulsan

Language: English

Topic: Fault Detection and Control Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W3200042102

FWCI: 0.939

Cites: 29

Cited by: 18

Related to: 10