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中国科学院力学研究所机构知识库
Knowledge Management System of Institue of Mechanics, CAS
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姜宗林 [6]
汪运鹏 [6]
聂少军 [6]
王粤 [2]
杨瑞鑫 [1]
王春 [1]
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力学学报 [2]
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Indexed By:CSCD
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Force measurement using strain-gauge balance in shock tunnel based on deep learning
期刊论文
CHINESE JOURNAL OF AERONAUTICS, 2023, 卷号: 36, 期号: 8, 页码: 43-53
Authors:
Nie SJ(聂少军)
;
Wang YP(汪运鹏)
;
Jiang ZL(姜宗林)
Adobe PDF(2346Kb)
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View/Download:55/11
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Submit date:2024/02/26
Convolutional neural net-works
Deep learning
Frequency domain analysis
Force measurement
Time domain analysis
Recurrent neural networks
激波风洞测力信号的频域数据深度学习建模分析方法
期刊论文
振动与冲击, 2023, 卷号: 42, 期号: 13, 页码: 296-302+315
Authors:
聂少军
;
汪运鹏
;
王春
;
姜宗林
Adobe PDF(665Kb)
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View/Download:194/50
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Submit date:2023/08/02
激波风洞
气动力测量
惯性振动
深度学习
频域分析
卷积神经网络在风洞天平静态校准中的应用分析
期刊论文
空气动力学学报, 2022, 卷号: 40, 期号: 暂无, 页码: 1-8
Authors:
汪运鹏
;
聂少军
;
王粤
;
姜宗林
Adobe PDF(1217Kb)
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View/Download:156/43
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Submit date:2022/10/17
气动力测量
风洞应变天平
静态校准
深度学习
卷积神经网络
卷积神经网络在风洞天平静态校准中的应用
期刊论文
空气动力学学报, 2022, 卷号: 41, 期号: 03, 页码: 25-32
Authors:
汪运鹏
;
聂少军
;
王粤
;
姜宗林
Adobe PDF(1297Kb)
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View/Download:79/17
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Submit date:2023/08/02
气动测量
风洞
应变天平
静态校准
深度学习
卷积神经网络
激波风洞高低压段钢膜片破裂特性研究
期刊论文
力学学报, 2021, 卷号: 53, 期号: 06, 页码: 1747-1757
Authors:
聂少军
;
汪运鹏
;
薛晓鹏
;
姜宗林
Adobe PDF(7665Kb)
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View/Download:252/66
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Submit date:2021/11/12
激波风洞
主膜片
爆轰驱动
破裂特性
数值模拟
基于深度学习技术的激波风洞智能测力系统研究
期刊论文
力学学报, 2020, 卷号: 52, 期号: 05, 页码: 1304-1313
Authors:
汪运鹏
;
杨瑞鑫
;
聂少军
;
姜宗林
Adobe PDF(1037Kb)
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View/Download:244/71
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Submit date:2020/11/18
激波风洞
人工智能
测力系统
动态校准
气动力测量
应变天平