Small Sample Reliability Assessment With Online Time-Series Data Based on a Worm Wasserstein Generative Adversarial Network Learning Method-Reference-Cited by-同舟云学术

Small Sample Reliability Assessment With Online Time-Series Data Based on a Worm Wasserstein Generative Adversarial Network Learning Method

Author:

Sun Bo¹^ORCID,Wu Zeyu²^ORCID,Feng Qiang¹^ORCID,Wang Zili²,Ren Yi¹^ORCID,Yang Dezhen¹^ORCID,Xia Quan³

Affiliation:

1. Institute of Reliability Engineering and the School of Reliability and Systems Engineering, Beihang University, Beijing, China

2. School of Reliability and Systems Engineering, Beihang University, Beijing, China

3. School of Aeronautic Science and Engineering, Beihang University, Beijing, China

Funder

National Key Research and Development Program of China

Research Council of Norway

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Science and Technology on Reliability and Environmental Engineering Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

Reference39 articles.

1. Robust kernel density estimation;kim;J Mach Learn Res,2012

5. Improved training of Wasserstein GANs;gulrajani;Adv Neural Inf Process Syst,2017

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