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浏览/检索结果: 共15条，第1-10条 帮助 限定条件 发表日期：2022     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序提交时间升序提交时间降序题名升序题名降序作者升序作者降序 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：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：15/0  |  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：16/0  |  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 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：25/0  |  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   Intelligent fault diagnosis of rolling bearing based on novel CNN model considering data imbalance 期刊论文 APPLIED INTELLIGENCE, 2022 作者:  Xing, Ziyang;  Zhao, Rongzhen;  Wu, Yaochun;  He, Tianjing 收藏  |  浏览/下载：7/0  |  提交时间：2022/04/21 Deep learning  Imbalanced data  Fault diagnosis  Loss function   Unsupervised domain adaptation of bearing fault diagnosis based on Join Sliced Wasserstein Distance 期刊论文 ISA Transactions, 2022 作者:  Chen, Pengfei;  Zhao, Rongzhen;  He, Tianjing;  Wei, Kongyuan;  Yang, Qidong 收藏  |  浏览/下载：8/0  |  提交时间：2022/07/20 Bearings (machine parts)  Deep neural networks  Fault detection  Large dataset  Probability distributions  Bearing fault diagnosis  Conditional probabilities  Domain adaptation  Faults diagnosis  Mechanical faults diagnosis  Mechanical systems  Noise interference  Pseudo label  Sliced wasserstein distances  Unsupervised domain adaptation