Study on fault diagnosis algorithms of EHA based on CNN-SVM
Study on fault diagnosis algorithms of EHA based on CNN-SVM
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LI, Xudong , LI, Yanjun , CAO, Yuyuan , WANG, Xingye , DUAN, Shixuan and ZHAO, Zejian
Publisher
EDP Sciences
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Publisher
EDP Sciences
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Contents
Contrapose the highly integrated, complex working conditions and many kinds of faults of aircraft electro hydrostatic actuator(EHA), to diagnose the typical fault of EHA effectively, a fault diagnosis algorithm based on convolutional neural networks (CNN) and support vector machine(SVM) was proposed. Firstly, the fault date sets are entered on CNN...
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Full title
Study on fault diagnosis algorithms of EHA based on CNN-SVM
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TN_cdi_doaj_primary_oai_doaj_org_article_b38e16d63d84432eac3f9eb01d41aa11
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b38e16d63d84432eac3f9eb01d41aa11
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ISSN
1000-2758
E-ISSN
2609-7125
DOI
10.1051/jnwpu/20234110230
