Multifeature Extraction and Semi-Supervised Deep Learning Scheme for State Diagnosis of Converter Transformer-Reference-Cited by-同舟云学术

Multifeature Extraction and Semi-Supervised Deep Learning Scheme for State Diagnosis of Converter Transformer

Author:

Xiao Rui¹^ORCID,Zhang Zhanlong¹^ORCID,Dan Yihua²^ORCID,Yang Yu¹^ORCID,Pan Zhicheng³^ORCID,Deng Jun³^ORCID

Affiliation:

1. State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing, China

2. Department of Electronic Engineering, Tsinghua University, Beijing, China

3. Maintenance & Test Centre, EHV China Southern Power Grid, Guangzhou, Guangdong, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference22 articles.

1. Semi-supervised learning of mixture models;cozman;Proc Int Conf Mach Learn,2003

2. Semi-supervised learning using Gaussian fields and harmonic functions;zhu;Proc 10th Int Work Artif Intell Stat (AISTATS),2005

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