SA1D-CNN: A Separable and Attention Based Lightweight Sensor Fault Diagnosis Method for Solar Insecticidal Lamp Internet of Things-Reference-Cited by-同舟云学术

SA1D-CNN: A Separable and Attention Based Lightweight Sensor Fault Diagnosis Method for Solar Insecticidal Lamp Internet of Things

Author:

Yang Xing¹^ORCID,Shu Lei²^ORCID,Li Kailiang²,Huo Zhiqiang³^ORCID,Zhang Yu⁴^ORCID

Affiliation:

1. College of Engineering, Nanjing Agricultural University, Nanjing, China

2. College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, China

3. Institute of Health Informatics, University College London, London, U.K.

4. Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough, U.K.

Funder

National Natural Science Foundation of China

Jiangsu Agricultural Science and Technology Innovation Fund

High-end Foreign Experts Recruitment Plan of China

Ministry of Science and Technology China

Nanjing Agricultural University

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering

Link

Reference42 articles.

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

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