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浏览/检索结果: 共5条，第1-5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 Distinguishing Epileptiform Discharges From Normal Electroencephalograms Using Scale-Dependent Lyapunov Exponent 期刊论文 FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2020, 卷号: 8, 页码: 14 作者:  Li, Qiong;  Gao, Jianbo;  Huang, Qi;  Wu, Yuan;  Xu, Bo 收藏  |  浏览/下载：38/0  |  提交时间：2021/01/07 EEG  epileptiform discharges  power spectral density (PSD)  scale-dependent Lyapunov exponent (SDLE)  random forest classifier  support vector machine (SVM)   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   Angle selection research based on multi-objectives optimized detection of clouds 期刊论文 JOURNAL OF INFRARED AND MILLIMETER WAVES, 2020, 卷号: 39 作者:  Fang Wei;  Qiao Yan-Li;  Zhang Dong-Ying;  Du Li-Li;  Yi Wei-Ning 收藏  |  浏览/下载：15/0  |  提交时间：2020/10/21 cloud detection  multi-angular polarized remote sensing  angular selection in remote sensing  Pareto Optimality   Method of fault identification based on fusion of CEEMD_MPE and GK fuzzy clustering 期刊论文 Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2020, 卷号: 33, 期号: 3, 页码: 629-635 作者:  Zhao, Rong-Zhen;  Sun, Ze-Jin 收藏  |  浏览/下载：3/0  |  提交时间：2020/11/14 Entropy  Fuzzy clustering  Signal processing  Correlation coefficient  Dimension reduction  Empirical Mode Decomposition  Ensemble empirical mode decomposition  Fault feature extractions  Fault identifications  Mode combination method  Non stationary characteristics   One-dimensional multi-scale domain adaptive network for bearing-fault diagnosis under varying working conditions 期刊论文 SENSORS, 2020, 卷号: 20, 期号: 21, 页码: 1-17 作者:  Wang K(王锴);  Zhao W(赵威);  Xu AD(徐皑冬);  Zeng P(曾鹏);  Yang SK(杨顺昆) 收藏  |  浏览/下载：19/0  |  提交时间：2020/11/14 domain adaptation  fault diagnosis  convolutional neural network  multi-scale features  distribution discrepancy