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BTCAN: A Binary Trend-Aware Network for Industrial Edge Intelligence and Application in Aero-Engine RUL Prediction
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About Ren Lei
About School of Automation Science and Electrical Engineering, Beihang University, Beijing, China
About Li Shixiang
About School of Automation Science and Electrical Engineering, Beihang University, Beijing, China
About Laili Yuanjun
About School of Automation Science and Electrical Engineering, Beihang University, Beijing, China
About Zhang Lin
About School of Automation Science and Electrical Engineering, Beihang University, Beijing, China
Material：
About IEEE Transactions on Instrumentation and Measurement
Volume： 73 Page： ROMBUNNO.3525610.1-10 Publication year： 2024
JST Material Number： C0232A ISSN： 0018-9456 CODEN： IEIMAO Document type： Article
Article type： 原著論文 Country of issue： United States (USA) Language： ENGLISH (EN)
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About memory (computer)
About convolution
About reliability (property)
About network
About forecast
About application program
About model
About deep layer
About Machine Learning
About remaining life
About footprint
About prediction accuracy
About aero engine
About Binary
About deep learning
About Edge computing
Category name(code) classified by JST.
About Bearings
About Secondary batteries
Keywords automatically extracted from the title.
About 航空エンジン
About 予測
About 産業
About エッジ
About インテリジェンス
About アプリケーション
About 二値
About トレンド
About 意識
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