Academic Journal

Hybrid Data-Driven and Multisequence Feature Fusion Fault Diagnosis Method for Electro-Hydrostatic Actuators of Transport Airplane

التفاصيل البيبلوغرافية
العنوان: Hybrid Data-Driven and Multisequence Feature Fusion Fault Diagnosis Method for Electro-Hydrostatic Actuators of Transport Airplane
المؤلفون: Xing, Xiaojun, Luo, Yiming, Han, Bing, Qin, Linfeng, Xiao, Bing
المساهمون: National Natural Science Foundation of China, Xi'an Science and Technology Plan Project, Industry-University-Research Innovation Fund of Chinese Universities, Natural Science Basic Research Program of Shaanxi, Basic and Applied Basic Research Foundation of Guangdong Province
المصدر: IEEE Transactions on Industrial Informatics ; page 1-10 ; ISSN 1551-3203 1941-0050
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE)
سنة النشر: 2025
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
DOI: 10.1109/tii.2024.3523587
الاتاحة: https://doi.org/10.1109/tii.2024.3523587
http://xplorestaging.ieee.org/ielx8/9424/4389054/10843104.pdf?arnumber=10843104
Rights: https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html ; https://doi.org/10.15223/policy-029 ; https://doi.org/10.15223/policy-037
رقم الانضمام: edsbas.B6A67C93
قاعدة البيانات: BASE
الوصف
DOI:10.1109/tii.2024.3523587