QQ客服 官方微博 反馈留言

浏览/检索结果: 共7条，第1-7条 帮助 限定条件 专题：湖南大学    第一署名单位    第一作者单位    通讯作者单位     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 A highly accurate and fast power quality disturbances classification based on dictionary learning sparse decomposition 期刊论文 Transactions of the Institute of Measurement and Control, 2019, 卷号: Vol.41 No.1, 页码: 145-155 作者:  Delong Cai;  Kaicheng Li;  Shunfan He;  Yuanzheng Li;  Yi Luo 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/13 Dictionary  learning  disturbance  classification  power  quality  sparse  decomposition   A New Approach to Recognize Power Quality Disturbances Based on Wavelet Transform and BP Neural Network 期刊论文 Power System Technology, 2012, 卷号: Vol.36 No.5, 页码: 139-144 作者:  Yao, Jiangang;  Guo, Zhifei;  Chen, Jinpan 收藏  |  浏览/下载：4/0  |  提交时间：2020/01/05 power quality  disturbance classification  wavelet transform  BP neural network  least-square   Power quality disturbance classification using S-transform and decision tree 期刊论文 2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application. PACIIA 2008, 2008, 页码: 602-606 作者:  Huimin Quan;  Yuxing Dai 收藏  |  浏览/下载：1/0  |  提交时间：2020/01/13 Research of classification method of short duration power quality disturbance 期刊论文 Computer Engineering and Applications, 2008, 卷号: Vol.44 No.17, 页码: 238-241 作者:  Luo Dian-sheng;  He Hong-ying;  Yao Jian-gang 收藏  |  浏览/下载：1/0  |  提交时间：2020/01/13 Power quality disturbance classification with multi-classification SVM based on MST 会议论文 2012 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia, Tianjin, China, 2012 作者:  Zeng, ZhaoXing;  Huang, Chun;  Cheng, Jinlun;  Qu, Shuo;  Qin, Qian 收藏  |  浏览/下载：0/0  |  提交时间：2020/01/05 Power Quality Disturbance Classification using S-transform and Decision Tree 会议论文 PACIIA: 2008 PACIFIC-ASIA WORKSHOP ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION, VOLS 1-3, PROCEEDINGS, 1563-1567, 2008 作者:  Quan, HM;  Dai, YX 收藏  |  浏览/下载：0/0  |  提交时间：2020/01/13 Detection and Classification of Power Quality Disturbances Using Double Resolution S-Transform and DAG-SVMs. 会议论文 IEEE Transactions on Instrumentation & Measurement, 2302-2312, 2016 作者:  Li, JM;  Teng, ZS;  Tang, Q;  Song, JH 收藏  |  浏览/下载：1/0  |  提交时间：2019/12/31 Artificial neural networks  Disturbance classification  Feature extraction  Harmonic analysis  power quality (PQ)  Power system harmonics  S-transform (ST)  Signal processing algorithms  support vector machines (SVMs)  time?frequency analysis  White noise