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湖南大学 [113]

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浏览/检索结果: 共591条，第1-10条

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	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：2/0 \| 提交时间：2023/11/17 Intelligent diagnosis Rotating machinery Label propagation Subpopulation shift Unsupervised domain adaptation
	Intelligent fault diagnosis of train bearing based on ISTOA-VMD and SE-WDCNN 期刊论文 JOURNAL OF VIBRATION AND CONTROL, 2023, 页码: 12 作者: He, Deqiang; Zou, Xueyan; Jin, Zhenzhen; Yan, Jingren; Ren, Chonghui 收藏 \| 浏览/下载：0/0 \| 提交时间：2023/12/07 intelligent fault diagnosis train bearing improved sooty tern optimization algorithm variational mode decomposition deep convolutional neural network
	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：30/0 \| 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：15/0 \| 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：13/0 \| 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
	Separation method of rolling bearing compound fault characteristics based on Improved harmonic wavelet packet decomposition and fast ICA 期刊论文 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2022, 卷号: 36, 期号: 7, 页码: 3263-3276 作者: Huang, Hua; Xue, Wenhu; Pang, Qianzhi 收藏 \| 浏览/下载：14/0 \| 提交时间：2022/07/19 Compound fault Fast ICA Improved harmonic wavelet packet decomposition Rolling bearing fault diagnosis
	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：15/0 \| 提交时间：2022/07/25
	An early composite fault feature extraction method of bearing based on square envelope spectrum negentropy criterion 期刊论文 Zhendong yu Chongji/Journal of Vibration and Shock, 2022, 卷号: 41, 期号: 8, 页码: 179-187 作者: Chen, Peng; Zhao, Xiaoqiang 收藏 \| 浏览/下载：8/0 \| 提交时间：2022/06/20 Failure analysis Fault detection Spectrum analysis Bearing Composite fault Early composite fault diagnose Envelope spectra Faults diagnosis Grasshopper optimization algorithm Negentropy Optimization algorithms Square envelope spectrum negentropy Swarm decomposition
	Generalization on Unseen Domains via Model-Agnostic Learning for Intelligent Fault Diagnosis 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 11 作者: Wang, Huanjie; Bai, Xiwei; Wang, Sihan; Tan, Jie; Liu, Chengbao 收藏 \| 浏览/下载：17/0 \| 提交时间：2022/06/06 Fault diagnosis Data models Task analysis Representation learning Adaptation models Training data Training Convolutional neural network (CNN) data-driven fault diagnosis domain generalization (DG) model-agnostic learning rolling bearing
	Health condition monitoring of bearings based on multifractal spectrum feature with modified empirical mode decomposition-multifractal detrended fluctuation analysis 期刊论文 STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2022 作者: Chen, Guangyi; Yan, Changfeng; Meng, Jiadong; Wang, Zonggang; Wu, Lixiao 收藏 \| 浏览/下载：24/0 \| 提交时间：2022/03/01 Empirical mode decomposition-multifractal detrended fluctuation analysis scaling exponent health condition monitoring step-moving window multifractal spectrum feature deterministic random separation

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