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兰州理工大学 [46]

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	Intelligent Fault Identification Method Based on Convolutional Neural Network for Imbalanced Data 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2022, 卷号: 42, 期号: 2, 页码: 299-307 作者: Wu, Yaochun; Zhao, Rongzhen; Jin, Wuyin; Xing, Ziyang 收藏 \| 浏览/下载：14/0 \| 提交时间：2022/06/20 Convolutional neural networks Machinery Class spaces Convolutional neural network Fault identifications Identification method Imbalanced data Intelligent fault diagnosis Min-max Min-max objective func-tion Net work Objective functions
	Structure Damage Identification Based on Information Entropy and Bayesian Fusion 期刊论文 Mathematical Problems in Engineering, 2022, 卷号: 2022 作者: Xiang, Chang-Sheng; Liu, Hai-Long; Liu, Chen-Yu; Zhou, Yu; Wang, Li-Xian 收藏 \| 浏览/下载：22/0 \| 提交时间：2022/08/09 Damage detection Data fusion Signal processing Structural analysis Damage Identification Data fusion theory Entropy fusion Entropy indices Entropy weights Fusion entropy Fusion indices Index weight Information entropy Structure damage
	Evaluation of the collapse mode of isolated structures subjected to multi-directional dynamic coupling excitation based on reliability theory 期刊论文 STRUCTURES, 2021, 卷号: 34, 页码: 1261-1275 作者: Shi, Chen; Du, Yongfeng 收藏 \| 浏览/下载：2/0 \| 提交时间：2021/10/14 Collapse mode Isolated structure Multi-directional dynamic coupling Reliability Cumulative damage
	Seismic Fragility Assessment of RC Plan-Asymmetric Wall-Frame Structures Based on the Enhanced Damage Model 期刊论文 SHOCK AND VIBRATION, 2021, 卷号: 2021 作者: Wang, Ning; Huang, Xiaoning; Zhang, Dan 收藏 \| 浏览/下载：10/0 \| 提交时间：2021/12/17
	Application of multisynchrosqueezing transform for structural modal parameter identification 期刊论文 JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, 2021, 卷号: 11, 期号: 5, 页码: 1175-1188 作者: Sun, Hu; Di, Shengkui; Du, Zhuyao; Wang, Lixian; Xiang, Changsheng 收藏 \| 浏览/下载：6/0 \| 提交时间：2021/10/14 Signal decomposition Modal parameter identification Multisynchrosqueezing transform Civil structures
	A non-contact recognition for deflection influence line of footbridge based on computer vision 期刊论文 Gongcheng Lixue/Engineering Mechanics, 2021, 卷号: 38, 期号: 8, 页码: 145-153 作者: Zhu, Qian-Kun; Chen, Jian-Bang; Zhang, Qiong; Du, Yong-Feng 收藏 \| 浏览/下载：5/0 \| 提交时间：2022/02/17 Cameras Displacement response Identification method Pedestrian position Quasi-static characteristics Recognition systems Structural behaviour Structural engineer Visual recognition
	Damage Identification of Bridge Structural Based on Strain Influence Line Curvature of Elastic Restrained Beam 期刊论文 Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering, 2021, 卷号: 29, 期号: 4, 页码: 901-914 作者: Zhou, Yu; Di, Shengkui; Li, Ximei; Li, Wanrun; Yuan, Zi 收藏 \| 浏览/下载：2/0 \| 提交时间：2022/02/17 Arch bridges Arches Analytical expressions Bending resistance Bridge structures Damage Identification Indeterminate beams Measuring points Restraint stiffness Strain measuring
	Dimensional reduction analysis of rotating machinery fault data based on local centroid mean minimum-distance discriminant projection 期刊论文 Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2021, 卷号: 34, 期号: 2, 页码: 421-430 作者: Shi, Ming-Kuan; Zhao, Rong-Zhen 收藏 \| 浏览/下载：5/0 \| 提交时间：2022/02/17 Dimensionality reduction Pattern recognition Rotating machinery Dimension reduction Dimension reduction algorithm Dimensional reduction Fault identifications High dimensional feature K nearest centroid neighbors Local geometric structures Strong nonlinearity
	Mechanical Fault Diagnosis Method Based on Multi-sensor Signal Feature Fusion Using Deep Convolutional Neural Network 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 2, 页码: 362-369 and 416 作者: Wu, Yaochun; Zhao, Rongzhen; Jin, Wuyin; He, Tianjing; Wu, Jie 收藏 \| 浏览/下载：16/0 \| 提交时间：2022/02/17 Complex networks Convolution Convolutional neural networks Deep neural networks Failure analysis Fault detection Fault classification Feature representation Hierarchical fusions Mechanical fault diagnosis Multi-sensor information fusion Multisensor data fusion One-dimensional features Softmax regressions
	Automatic modal parameters identification and uncertainty quantification based on block-bootstrap and multi-stage clustering under ambient excitation 期刊论文 JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL, 2021, 卷号: 41, 期号: 2, 页码: 551-565 作者: Luo, Yongpeng; Liu, Yuangui; Han, Jianping; Liu, Jingliang 收藏 \| 浏览/下载：6/0 \| 提交时间：2022/03/01 Automatic modal parameters identification stochastic subspace identification uncertainty quantification block-bootstrap clustering stabilization diagram

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