One-Dimensional Residual GANomaly Network-Based Deep Feature Extraction Model for Complex Industrial System Fault Detection
Author:
Affiliation:
1. College of Control Science and Engineering, China University of Petroleum, Qingdao, China
Funder
Shandong Provincial Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10147868.pdf?arnumber=10147868
Reference55 articles.
1. Slow Down to Go Better: A Survey on Slow Feature Analysis
2. A novel multivariate statistical process monitoring algorithm: Orthonormal subspace analysis
3. Fault detection and pathway analysis using a dynamic Bayesian network
4. Incipient fault detection of nonlinear chemical processes based on probability-related randomized slow feature analysis
5. Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction
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