A novel adaptive extreme learning machine-autoencoder algorithm for online monitoring and fault detection
Author:
Affiliation:
1. Yunnan University,School of Information,Kunming,China
2. Yunnan University of Finance and Economics,School of Finance,Kunming,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9693491/9693537/09693722.pdf?arnumber=9693722
Reference22 articles.
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2. Fault detection and diagnosis based on modified independent component analysis
3. Fault Detection in Tennessee Eastman Process Using Fisher’s Discriminant Analysis and Principal Component Analysis Modified by Genetic Algorithm
4. Partial Least Squares;russell;Advances in Industrial Control,2004
5. Nonlinear process monitoring using kernel principal component analysis
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