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	A Current-Based Fault Diagnosis Method for Rotating Machinery With Limited Training Samples 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 期号: *, 页码: 1-14 作者: Hou X(侯旭); Du FJ(杜福嘉); Huang K(黄康) 收藏 \| 浏览/下载：0/0 \| 提交时间：2024/03/18 Comb filter kernel(CF-kernel) motor current signal analysis convolutional neural network(CNN) fault diagnosis limited training sample
	Spatial Domain Image Fusion with Particle Swarm Optimization and Lightweight AlexNet for Robotic Fish Sensor Fault Diagnosis 期刊论文 BIOMIMETICS, 2023, 卷号: 8, 期号: 6, 页码: 20 作者: Fan, Xuqing; Deng, Sai; Wu, Zhengxing; Fan, Junfeng; Zhou, Chao 收藏 \| 浏览/下载：0/0 \| 提交时间：2023/12/21 image fusion lightweight AlexNet particle swarm optimization fault diagnosis robotic fish
	Intelligent monitoring and diagnosis of telescope image quality 期刊论文 Monthly Notices of the Royal Astronomical Society, 2023, 卷号: 525, 期号: 3, 页码: 3541–3550 作者: Hu TZ(胡天柱); Zhang Y(张勇); Cui XQ(崔向群) 收藏 \| 浏览/下载：0/0 \| 提交时间：2024/03/19 methods: data analysis methods: numerical techniques: image processing software: data analysis
	Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis 期刊论文 JOURNAL OF INTELLIGENT MANUFACTURING, 2023, 页码: 18 作者: Wang, Huanjie; Li, Yuan; Bai, Xiwei; Li, Jingwei; Tan, Jie 收藏 \| 浏览/下载：3/0 \| 提交时间：2023/11/17 Intelligent diagnosis Rotating machinery Label propagation Subpopulation shift Unsupervised domain adaptation
	Open-Switch Fault Diagnosis of Three-Phase PWM Converter Systems for Magnet Power Supply on EAST 期刊论文 IEEE TRANSACTIONS ON POWER ELECTRONICS, 2023, 卷号: 38 作者: Deng, Xi; Wan, Chenguang; Jiang, Li; Gao, Ge; Huang, Ya 收藏 \| 浏览/下载：20/0 \| 提交时间：2022/12/23 Fault diagnosis inception open circuit pulsewidth modulation (PWM)
	Feature Clustering-Based Network for Industrial Process Diagnosis With Incremental Fault Types 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 11 作者: Xu, Xinyao; Xu, De 收藏 \| 浏览/下载：0/0 \| 提交时间：2023/11/17 ~Catastrophic forgetting fault diagnosis feature clustering incremental learning network expansion
	Rolling bearing fault diagnosis by Markov transition field and multi-dimension convolutional neural network 期刊论文 Measurement Science and Technology, 2022, 卷号: 33, 期号: 11 作者: Lei, Chunli; Xue, Linlin; Jiao, Mengxuan; Zhang, Huqiang; Shi, Jiashuo 收藏 \| 浏览/下载：33/0 \| 提交时间：2022/09/22 Chemical activation Convolution Convolutional neural networks Fault detection Neural network models Roller bearings Activation functions Condition Convolutional neural network E-rectified linear unit activation function Faults diagnosis Linear units Markov transition field Multi dimensions Multi-dimension attention Transition fields
	Cross-Level fusion for rotating machinery fault diagnosis under compound variable working conditions 期刊论文 MEASUREMENT, 2022, 卷号: 199, 页码: 7 作者: Wang, Sihan; Wang, Dazhi; Kong, Deshan; Li, Wenhui; Wang, Huanjie 收藏 \| 浏览/下载：17/0 \| 提交时间：2022/07/25 Intelligent fault diagnosis Few-shot learning Anti-noise Compound faults Working condition variation
	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
	Few-shot multiscene fault diagnosis of rolling bearing under compound variable working conditions 期刊论文 IET CONTROL THEORY AND APPLICATIONS, 2022, 页码: 12 作者: Wang, Sihan; Wang, Dazhi; Kong, Deshan; Li, Wenhui; Wang, Jiaxing 收藏 \| 浏览/下载：16/0 \| 提交时间：2022/07/25

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