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	An intelligent diagnosis method of rolling bearing based on multi-scale residual shrinkage convolutional neural network 期刊论文 Measurement Science and Technology, 2022, 卷号: 33, 期号: 8 作者: Zhao, Xiaoqiang; Zhang, Yazhou 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/06/20 Convolutional neural networks Deep learning Failure (mechanical) Failure analysis Fault detection Roller bearings Shrinkage Bearing fault diagnosis Convolutional neural network Intelligent diagnosis methods Multi-scale residual shrinkage convolutional neural network Multi-scales Noise environments Rolling bearings Separable convolution Variable operating condition Vibration signal
	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
	Intelligent fault diagnosis of rolling bearings using a semi-supervised convolutional neural network 期刊论文 Applied Intelligence, 2021, 卷号: 51, 期号: 4, 页码: 2144-2160 作者: Wu, Yaochun; Zhao, Rongzhen; Jin, Wuyin; He, Tianjing; Ma, Sencai 收藏 \| 浏览/下载：3/0 \| 提交时间：2021/06/03 Convolution Deep learning Failure analysis Fault detection Learning systems Roller bearings Semi-supervised learning Vibration analysis Class probabilities Diagnosis performance Intelligent fault diagnosis Inter-class distance Learning methods Maximum margin criterions Rolling bearings Vibration signal
	Fault detection algorithm of batch process based on improved neighborhood preserving embedding-independent component analysis 期刊论文 Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2021, 卷号: 27, 期号: 4, 页码: 1062-1071 作者: Zhao, Xiaoqiang; Yao, Hongjuan 收藏 \| 浏览/下载：5/0 \| 提交时间：2022/02/17 Batch data processing Bayesian networks Embeddings Gaussian distribution Gaussian noise (electronic) Independent component analysis Inference engines Signal detection Bayesian inference Detection effect Fault detection algorithm Local information Mixed distribution Neighborhood preserving embedding Non-Gaussian informations Penicillin production
	Rolling Bearing Fault Diagnosis Based on One-Dimensional Dilated Convolution Network with Residual Connection 期刊论文 IEEE Access, 2021, 卷号: 9, 页码: 31078-31091 作者: Liang, Haopeng; Zhao, Xiaoqiang 收藏 \| 浏览/下载：63/0 \| 提交时间：2021/04/12 Convolution Failure analysis Fault detection Multilayer neural networks Time domain analysis Connection structures Convolution neural network Feature learning Noisy environment Residual structure Rolling bearings Time-domain signal Weight coefficients
	Detection and analysis of Galileo signal in space anomalies from 2017 to 2018 期刊论文 IET RADAR SONAR AND NAVIGATION, 2020, 卷号: 14, 期号: 11, 页码: 1690-1696 作者: Fan, Lihong; Tu, Rui; Zhang, Rui; Han, Junqiang; Zhang, Pengfei 收藏 \| 浏览/下载：18/0 \| 提交时间：2021/11/29 distance measurement error analysis satellite navigation aircraft landing guidance radio receivers Galileo signal space anomalies broadcast ephemeris user navigation SIS anomaly advanced receiver autonomous integrity monitoring precise ephemeris SIS error healthy Galileo satellites corresponding detection thresholds satellite SIS anomalies satellite clock error SIS stability time 7 0 hour time 2 5 hour time 50 0 hour time 4 5 hour
	Improved Alexnet Based Fault Diagnosis Method for Rolling Bearing Under Variable Conditions 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2020, 卷号: 40, 期号: 3, 页码: 472-480 作者: Zhao, Xiaoqiang; Zhang, Qingqing 收藏 \| 浏览/下载：19/0 \| 提交时间：2020/11/14 Convolution Failure analysis Fault detection Iterative methods Time domain analysis Complex condition Fault diagnosis method Iterative Optimization State identification Time-domain signal Two-dimensional features Two-dimensional spectrum Variable conditions
	Description of underwater noise in Siutghiol lake, Constanta 会议论文 Constanta, Romania, August 20-23, 2020 作者: Danisor, Alin; Tamas, Razvan D.; Qi F(祁峰) 收藏 \| 浏览/下载：13/0 \| 提交时间：2021/03/14 stochastic signal processing noise analysis underwater noise signal detection
	Description of underwater noise in Siutghiol lake, Constanta 会议论文 Constanta, Romania, August 20-23, 2020 作者: Danisor, Alin; Tamas, Razvan D.; Qi F(祁峰) 收藏 \| 浏览/下载：20/0 \| 提交时间：2021/01/30 stochastic signal processing noise analysis underwater noise signal detection
	Rolling Bearing Fault Diagnosis Method Based on EEMD Singular Value Entropy 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2019, 卷号: 39, 期号: 2, 页码: 353-358 作者: Zhang, Chen; Zhao, Rongzhen; Deng, Linfeng 收藏 \| 浏览/下载：7/0 \| 提交时间：2020/11/14 Failure analysis Fault detection Mean square error Signal processing Singular value decomposition Ensemble empirical mode decompositions (EEMD) Euclidean distance Evaluation index Fault identifications Information entropy method Intrinsic Mode functions Rolling bearings Singular values

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