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浏览/检索结果: 共13条，第1-10条 帮助 限定条件 专题：北京航空航天大学    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 Periodicity-Impulsiveness Spectrum Based on Singular Value Negentropy and Its Application for Identification of Optimal Frequency Band 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 卷号: 66, 页码: 3127-3138 作者:  Miao, Yonghao;  Zhao, Ming;  Lin, Jing 收藏  |  浏览/下载：9/0  |  提交时间：2019/12/30 Feature extraction  motor bearing  period-oriented kurtosis  resonant frequency band  singular value negentropy (SVN)   An automatic abrupt signal extraction method for fault diagnosis of aero-engines 期刊论文 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2019, 卷号: 33, 页码: 1633-1640 作者:  Pan, Qiang;  Liu, Ying;  Zhou, Rui;  Wang, Hong;  Chen, Haibing 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/30 Singular value decomposition  Difference spectrum  Abrupt information  Rubbing  Fault diagnosis   Spectrum Restoration Methods of A Polarimetric-Spectro imager Based on Light Field Architecture 会议论文 OPTOELECTRONIC IMAGING AND MULTIMEDIA TECHNOLOGY V, 2018-01-01 作者:  Su, Lijuan;  Liu, Yujian;  Yuan, Yan 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/30 Tikhonov regulation algorithm  The snapshot light field polarimetric-spectro imager  spectrum restoration  truncated generalized singular value decomposition method   Surface Quality Evaluation Based on Roughness Prediction Model 会议论文 PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND ELECTRICAL ENGINEERING 2018 (ICITEE '18), 2018-01-01 作者:  Li, Yazhou;  Dai, Wei;  Wu, Xiaonan;  Kan, Yuhong 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 state parameters  Singular Spectrum Analysis(SSA)  Support Vector Machines(SVM)  fault diagnosis   奇异谱分析在故障时间序列分析中的应用 期刊论文 北京航空航天大学学报, 2016, 卷号: 42, 页码: 2321-2331 作者:  王鑫;  吴际;  刘超;  牛文生;  张华 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/30 奇异谱分析(SSA) 故障时间序列 预测 参数优选 模型组合 singular spectrum analysis (SSA) failure time series prediction parameter optimization model combination   A Hybrid Model Based on Singular Spectrum Analysis and Support Vector Machines Regression for Failure Time Series Prediction 会议论文 2016-12-01 作者:  Wang, Xin;  Wu, Ji;  Liu, Chao;  Wang, Senzhang;  Niu, Wensheng 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/30 A Hybrid Model Based on Singular Spectrum Analysis and Support Vector Machines Regression for Failure Time Series Prediction 期刊论文 QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2016, 卷号: 32, 页码: 2717-2738 作者:  Wang, Xin;  Wu, Ji;  Liu, Chao;  Wang, Senzhang;  Niu, Wensheng 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/30 singular spectrum analysis  support vector machines regression  failure time series forecast  hybrid models  grid search method   Application of multiscale analysis-based intelligent ensemble modeling on airport traffic forecast 期刊论文 TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH, 2015, 卷号: 7, 页码: 73-79 作者:  Xiao, Yi;  Liu, John J.;  Xiao, Jin;  Hu, Yi;  Bu, Hui 收藏  |  浏览/下载：2/0  |  提交时间：2020/01/06 Singular spectrum analysis  Air transport traffic forecasting  Generalized regression neural network  Radial basis function network   Fast Implementation of Singular Spectrum Analysis for Effective Feature Extraction in Hyperspectral Imaging 会议论文 6th Workshop on Hyperspectral Image and Signal Processing (WHISPERS), Lausanne, SWITZERLAND, 2015-06-01 作者:  Zabalza, Jaime;  Ren, Jinchang;  Wang, Zheng;  Zhao, Huimin;  Wang, Jun 收藏  |  浏览/下载：15/0  |  提交时间：2020/01/06 Data classification  fast singular spectrum analysis (F-SSA)  feature extraction  hyperspectral imaging (HSI)  support vector machine (SVM)   Fast Implementation of Singular Spectrum Analysis for Effective Feature Extraction in Hyperspectral Imaging 期刊论文 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 卷号: 8, 页码: 2845-2853 作者:  Zabalza, Jaime;  Ren, Jinchang;  Wang, Zheng;  Zhao, Huimin;  Wang, Jun 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/30 Data classification  fast singular spectrum analysis (F-SSA)  feature extraction  hyperspectral imaging (HSI)  support vector machine (SVM)