QQ客服 官方微博 反馈留言

浏览/检索结果: 共4条，第1-4条 帮助 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 Intelligent fault diagnosis of rolling bearings using a semi-supervised convolutional neural network 期刊论文 Applied Intelligence, 2021, 卷号: 51, 期号: 4, 页码: 2144-2160 作者:  Wu, Yaochun;  Zhao, Rongzhen;  Jin, Wuyin;  He, Tianjing;  Ma, Sencai 收藏  |  浏览/下载：3/0  |  提交时间：2021/06/03 Convolution  Deep learning  Failure analysis  Fault detection  Learning systems  Roller bearings  Semi-supervised learning  Vibration analysis  Class probabilities  Diagnosis performance  Intelligent fault diagnosis  Inter-class distance  Learning methods  Maximum margin criterions  Rolling bearings  Vibration signal   Fault diagnosis of rotor based on Local-Global Balanced Orthogonal Discriminant Projection 期刊论文 Measurement: Journal of the International Measurement Confederation, 2021, 卷号: 168 作者:  Shi, Mingkuan;  Zhao, Rongzhen;  Wu, Yaochun;  He, Tianjing 收藏  |  浏览/下载：17/0  |  提交时间：2020/11/14 Fault detection  Frequency domain analysis  Nearest neighbor search  Rotating machinery  Time domain analysis  Application examples  Complex characteristics  Discriminant informations  High dimensional feature  Inter-class distance  K-nearest neighbor method  Structure information  Time frequency domain   Improved initial cluster center selection in K-means clustering 期刊论文 ENGINEERING COMPUTATIONS, 2014, 卷号: 31, 页码: 1661-1667 作者:  Zhu, Minchen;  Wang, Weizhi;  Huang, Jingshan 收藏  |  浏览/下载：2/0  |  提交时间：2019/11/21 Inner-class distance  Inter-class distance  Initial cluster centre  K-means clustering   Inter-class distance based kernel parameter evaluating method for RBF-SVM 会议论文 作者:  Song, Xiaoshan;  Jiang, Xiaoyu;  Han, Chongzhao;  Luo, Jianhua 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/10 Experimental analysis  Grid-search method  Inter-class distance  Kernel parameter  Parameter selection  Parameters selection  Radial Basis Function(RBF)  Radial basis functions