An empirical study of fault diagnosis methods of a dissolved oxygen sensor based on ResNet-50 - Computer Vision Research Group（计算机视觉实验室） | LabXing

array(2) { ["lab"]=> string(3) "868" ["publication"]=> string(5) "14833" } An empirical study of fault diagnosis methods of a dissolved oxygen sensor based on ResNet-50 - Computer Vision Research Group（计算机视觉实验室） | LabXing

Computer Vision Research Group（计算机视觉实验室）

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An empirical study of fault diagnosis methods of a dissolved oxygen sensor based on ResNet-50

2022

期刊 International Journal of Sensor Networks

作者 Pu Yang · Qinghao Liu · Boning Wang · Weiran Li · Zhenbo Li · Ming Sun

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卷 39
期 3
页码 205
Inderscience Publishers
ISSN: 1748-1279
DOI: 10.1504/ijsnet.2022.124566

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