Fault Detection with Data Imbalance Conditions Based on the Improved Bilayer Convolutional Neural Network
Author:
Affiliation:
1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
Funder
National Natural Science Foundation of China
Shandong Key Laboratory of Big-data Driven Safety Control Technology for Complex Systems
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.9b06298
Reference45 articles.
1. A deep belief network based fault diagnosis model for complex chemical processes
2. A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network
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5. A Review on Basic Data-Driven Approaches for Industrial Process Monitoring
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