Imbalanced data fault diagnosis of hydrogen sensors using deep convolutional generative adversarial network with convolutional neural network-Reference-Cited by-同舟云学术

Imbalanced data fault diagnosis of hydrogen sensors using deep convolutional generative adversarial network with convolutional neural network

Author:

Sun Yongyi¹²,Zhao Tingting³,Zou Zhihui³^ORCID,Chen Yinsheng⁴^ORCID,Zhang Hongquan¹³^ORCID

Affiliation:

1. Key Laboratory of Electronics Engineering, College of Heilongjiang Province, Heilongjiang University, Harbin 150001, People’s Republic of China

2. Department of Information, Liaoning Police Academy, Dalian 116036, People’s Republic of China

3. School of Automation, Harbin Engineering University, Harbin 150001, People’s Republic of China

4. School of Measurement and Communication Engineering, Harbin University of Science and Technology, Harbin 150001, People’s Republic of China

Funder

The National Natural Science Foundation of China

The Key Project of Education Department of Liaoning Province of China

The Key R&D Plan of Liaoning Province of China

The Science and Technology Projects of Guizhou Province of China

The Open Project of State Key Laboratory of China

Publisher

AIP Publishing

Subject

Instrumentation

Link

Reference36 articles.

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