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浏览/检索结果: 共6条，第1-6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：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 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   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：17/0  |  提交时间：2022/07/19 Compound fault  Fast ICA  Improved harmonic wavelet packet decomposition  Rolling bearing fault diagnosis   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：19/0  |  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   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   A novel attention-based domain adaptation model for intelligent bearing fault diagnosis under variable working conditions 期刊论文 MEASUREMENT SCIENCE AND TECHNOLOGY, 2022, 卷号: 33, 期号: 1, 页码: 1-17 作者:  Wang Y(王煜);  Gao J(高洁);  Wang W(王伟);  Du JS(杜劲松);  Yang X(杨旭) 收藏  |  浏览/下载：9/0  |  提交时间：2021/11/08 domain adaptation  bearing fault diagnosis  adversarial network  attention mechanism