Deep Transfer Network With Adaptive Joint Distribution Adaptation: A New Process Fault Diagnosis Model
Author:
Affiliation:
1. School of Mechanical Engineering, Tongji University, Shanghai, China
Funder
National Natural Science Foundation of China
Action Plan for Scientific and Technological Innovation of Shanghai Science and Technology Commission
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09729206.pdf?arnumber=9729206
Reference47 articles.
1. Improved training of Wasserstein GANs;gulrajani;Proc Adv Neural Inf Process Syst (NIPS),2017
2. Generative adversarial nets;goodfellow;Proc 27th Int Conf Neural Inf Process Syst,2014
3. Deep Transfer Network With Multi-Kernel Dynamic Distribution Adaptation for Cross-Machine Fault Diagnosis
4. Normalized Recurrent Dynamic Adaption Network: A New Framework With Dynamic Alignment for Intelligent Fault Diagnosis
5. Transfer Learning with Dynamic Adversarial Adaptation Network
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