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浏览/检索结果: 共12条，第1-10条 帮助 限定条件 发表日期：2020     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 Bearing Intelligent Fault Diagnosis Based on Wavelet Transform and Convolutional Neural Network 期刊论文 Shock and Vibration, 2020, 卷号: 2020, 期号: 2020, 页码: 1-14 作者:  Guo, Junfeng;  Liu, Xingyu;  Li, Shuangxue;  Wang, Zhiming 收藏  |  浏览/下载：6/0  |  提交时间：2020/12/31 Convolution  Convolutional neural networks  Extraction  Failure analysis  Fault detection  Feature extraction  Wavelet transformsFault diagnosis method  Fault feature extractions  Feature extraction and classification  Intelligent fault diagnosis  Mechanical equipment  Orthogonal matching pursuit  Real-time fault diagnosis  Time frequency transform   Fault Diagnosis Method for Rolling Bearing under Variable Working Conditions Using Improved Residual Neural Network 期刊论文 Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2020, 卷号: 54, 期号: 9, 页码: 23-31 作者:  Zhao, Xiaoqiang;  Liang, Haopeng 收藏  |  浏览/下载：17/0  |  提交时间：2020/11/14 Convolution  Failure analysis  Fault detection  Microphones  Neural networks  Time domain analysis  End-to-end connections  Fault diagnosis method  Feature information  Generalization ability  Learning efficiency  Neural network method  Time-varying characteristics  Working environment   Weak fault feature extraction of rolling bearing based on secondary clustering segmentation and Teager energy spectrum 期刊论文 Zhendong yu Chongji/Journal of Vibration and Shock, 2020, 卷号: 39, 期号: 13, 页码: 246-253 作者:  Wang, Wangwang;  Deng, Linfeng;  Zhao, Rongzhen;  Zhang, Aihua 收藏  |  浏览/下载：17/0  |  提交时间：2020/11/14 Bandpass filters  Clustering algorithms  Copying  Fourier transforms  Fuzzy clustering  Higher order statistics  Inverse problems  Inverse transforms  Signal processing  Spectroscopy  Time domain analysis  Clustering segmentation  Different frequency  Fuzzy C-means algorithms  Inverse Fourier transforms  Periodic components  Simulation analysis  Teager energy operators  Weak fault feature extraction   A Method of Rolling Bearing Fault Diagnose Based on Double Sparse Dictionary and Deep Belief Network 期刊论文 IEEE Access, 2020, 卷号: 8, 期号: 7, 页码: 116239-116253 作者:  Junfeng Guo;  Pengfei Zheng 收藏  |  浏览/下载：7/0  |  提交时间：2020/11/11 Sparse representation  double sparse dictionary  deep belief network (DBN)  bearing fault diagnosis  feature extraction.   A novel classification method based on ICGOA-KELM for fault diagnosis of rolling bearing 期刊论文 Applied Intelligence, 2020, 卷号: 50, 期号: 无, 页码: 2833-2847 作者:  Peng Chen;  Xiaoqiang Zhao;  Qixian Zhu 收藏  |  浏览/下载：14/0  |  提交时间：2020/11/06 Chaotic systems  Computer aided diagnosis  Damage detection  Failure analysis  Fault detection  Machine learning  Optimization  Extreme learning machine  Fault detection and classification  Global searching ability  Heuristic optimization algorithms  ICGOA- KELM  Intrinsic Mode functions  Optimization algorithms  Rolling bearings   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   Rolling bearing fault diagnosis method based on improved Alexnet and PSO-BFA 期刊论文 Zhendong yu Chongji/Journal of Vibration and Shock, 2020, 卷号: 39, 期号: 7, 页码: 21-28 作者:  Zhao, Xiaoqiang;  Zhang, Qingqing;  Chen, Peng;  Zhu, Qixian 收藏  |  浏览/下载：17/0  |  提交时间：2020/11/14 Complex networks  Failure analysis  Fault detection  Iterative methods  Particle swarm optimization (PSO)  Bacterial foraging algorithm  Convolution neural network  Diagnostic accuracy  Generalization performance  Iterative Optimization  Multiple iterations  Structure parameter  Swarm intelligence algorithms   Periodic impulse signal separation based on resonance-based sparse signal decomposition and its application to the fault detection of rolling bearing 期刊论文 MEASUREMENT & CONTROL, 2020, 卷号: 53, 期号: 3-4, 页码: 601-612 作者:  Juan, Du;  Yan, Lu;  Xian, Tao;  Yu, Zheng;  Chu, Chen Guo 收藏  |  浏览/下载：5/0  |  提交时间：2020/07/06 Resonance-based sparse signal decomposition  Q-factor  empirical mode decomposition  energy operator demodulating  fault detection   Dynamic characteristics of compound fault in deep groove ball bearing 期刊论文 Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2020, 卷号: 52, 期号: 1, 页码: 133-140 作者:  Wang, Kai;  Yan, Changfeng;  Wang, Fengtao;  Chang, Binquan;  Wu, Lixiao 收藏  |  浏览/下载：11/0  |  提交时间：2020/11/14 Condition monitoring  Deep groove ball bearings  Dynamic models  Vibration analysis  Bearing condition monitoring  Compound faults  Dynamic characteristics  Excitation mechanisms  Fault characteristics  Hertz contact theory  Slipping  Time varying   The diagnostic analysis of the fault coupling effects in planet bearing 期刊论文 ENGINEERING FAILURE ANALYSIS, 2020, 卷号: 108, 页码: 104266 作者:  Xue, Song;  Wang, Congsi;  Howard, Ian;  Lian, Peiyuan;  Chen, Gaige 收藏  |  浏览/下载：10/0  |  提交时间：2020/03/12 Planet bearing fault  Fault coupling effect  Lumped-parameter model  Amplitude demodulation  Coherence estimation