Evidential Deep Learning-Based Adversarial Network for Universal Cross-Domain Fault Diagnosis of Rotary Machinery-Reference-Cited by-同舟云学术

Evidential Deep Learning-Based Adversarial Network for Universal Cross-Domain Fault Diagnosis of Rotary Machinery

Author:

Su Zuqiang¹^ORCID,Jiang Weilong¹^ORCID,Zhang Bo²,Feng Song¹^ORCID,Cui Leiming²,Qin Yi³^ORCID

Affiliation:

1. School of Advanced Manufacturing Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China

2. Chongqing Polycomp International Corporation, Chongqing, China

3. State Key Laboratory of Mechanical Transmission, College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing

Chongqing Postdoctoral Science Special Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference34 articles.

3. Visualizing data using t-SNE;maaten;J Mach Learn Res,2008

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