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Fault diagnosis of rolling bearing based on resonance-based sparse signal decomposition with optimal Q-factor 期刊论文
MEASUREMENT & CONTROL, 2019, 卷号: 52, 期号: 7-8, 页码: 1111-1121
作者:  Lu, Yan;  Du, Juan;  Tao, Xian
Adobe PDF(2339Kb)  |  收藏  |  浏览/下载：341/95  |  提交时间：2019/12/16
Fault diagnosis  resonance-based sparse signal decomposition  optimal Q-factor  genetic algorithm  energy operator demodulating  rolling bearing  
A GPU Based Parallel Genetic Algorithm for the Orientation Optimization Problem in 3D Printing 会议论文
, Montreal, Canada, May 20-24, 2019
作者:  Li, Zhishuai;  Xiong, Gang;  Zhang, Xipeng;  Shen, Zhen;  Luo, Can;  Shang, Xiuqin;  Dong, Xisong;  Bian, Gui-Bin;  Wang, Xiao;  Wang, Fei-Yue
Adobe PDF(195Kb)  |  收藏  |  浏览/下载：429/112  |  提交时间：2019/10/10
Orientation Optimization  Gpu  Parallel Computing  Genetic Algorithm  Additive Manufacturing  
A Multi-Antenna Spectrum Sensing Scheme Based on Main Information Extraction and Genetic Algorithm Clustering 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 119620-119630
作者:  Zhuang, Jiawei;  Wang, Yonghua;  Zhang, Shunchao;  Wan, Pin;  Sun, Chenhao
收藏  |  浏览/下载：225/0  |  提交时间：2020/03/30
Spectrum sensing  principal component analysis  information fusion  genetic algorithm clustering  
Multi-objective Dimensional Optimization of a 3-DOF Translational PKM Considering Transmission Properties 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 748-760
作者:  Song Lu;  Yang-Min Li;  Bing-Xiao Ding
Adobe PDF(19413Kb)  |  收藏  |  浏览/下载：115/30  |  提交时间：2021/02/22
Multi-objective optimization  parallel kinematic manipulator  transmission property  non-dominated sorting genetic algorithm (NSGA II).  
Convergence Analysis of a New MaxMin-SOMO Algorithm 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 534-542
作者:  Atlas Khan;  Yan-Peng Qu
Adobe PDF(1429Kb)  |  收藏  |  浏览/下载：133/45  |  提交时间：2021/02/22
Optimization  self organizing map (SOM)  SOM-based optimization (SOMO) algorithm  particle swarm optimization (PSO)  genetic algorithms (GAs).