PRINCIPAL COMPONENT ANALYSIS BASED FAULT CLASSIFICATION

• 1. 故障分类装置、故障分类方法以及故障分类程序 [P] . 中国专利： CN110134070B . 2021.03.05
• 2. 故障分类装置、故障分类方法以及故障分类程序 [P] . 中国专利： CN110134070A . 2019-08-16
• 3. Principal component analysis based fault classification [P] . 美国专利： US8041539B2 . 2011-10-18

  机译： 基于主成分分析的故障分类

• 4. Principal component analysis based fault classification [P] . 美国专利： US7447609B2 . 2008-11-04

  机译： 基于主成分分析的故障分类

• 5. PRINCIPAL COMPONENT ANALYSIS BASED FAULT CLASSIFICATION [P] . 美国专利： US2008294374A1 . 2008-11-27

  机译： 基于主成分分析的故障分类

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• 2. Application of Particle Swarm Optimization to Fault Condition Recognition Based on Kernel Principal Component Analysis [J] . WEI Xiu-ye, PAN Hong-xia, HUANG Jin-ying, 国际设备工程与管理（英文版） . 2009,第003期
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• 4. Rolling bearing faults severity classification using a combined approach based on multi-scales principal component analysis and fuzzy technique [J] . The International Journal of Advanced Manufacturing Technology . 2020,第9a10期
• 5. Application of Principal Component Analysis for Fault Classification in Transmission Line with Ratio-Based Method and Probabilistic Neural Network: A Comparative Analysis [J] . Alok Mukherjee, Palash Kumar Kundu, Arabinda Das Journal of The Institution of Engineers (India): Series B . 2020,第4期
• 6. Rotor Fault Analysis of Classification Accuracy Optimition Base on Kernel Principal Component Analysis and SVM [C] . Xiangyang JIN, Lin LIN, Shisheng ZHONG International Conference on Advanced in Control Engineering and Information Science . 2013
• 7. Principal component analysis based fault detection and isolation. [D] . Cao, Jin. 2004
• 8. SLIC Superpixel-Based l21-Norm Robust Principal Component Analysis for Hyperspectral Image Classification [O] . Baokai Zu, Kewen Xia, Tiejun Li, 2019
• 9. Rotor Fault Analysis of Classification Accuracy Optimition Base on Kernel Principal Component Analysis and SVM [O] . Jin Xiangyang, Lin Lin, Zhong Shisheng, 2011

• 1. Fault Classification and Localization in Power Systems Using Fault Signatures and Principal Components Analysis [J] . Qais H. Alsafasfeh ,Ikhlas Abdel-Qader ,Ahmad M. Harb . 能源与动力工程（英文） . 2012,第6期
• 2. Polarimetric Meteorological Satellite Data Processing Software Classification Based on Principal Component Analysis and Improved K-Means Algorithm [J] . Manyun Lin ,Xiangang Zhao ,Cunqun Fan . 地球科学和环境保护期刊（英文） . 2017,第7期
• 3. Improved Relative-transformation Principal Component Analysis Based on Mahalanobis Distance and Its Application for Fault Detection [J] . SHI Huai-Tao ,LIU Jian-Chang ,XUE Peng . 自动化学报 . 2013,第009期
• 4. 基于局部均值分解的极限学习机的轴承故障分类方法 [C] . GAO Yun ,高云 ,XIANG Jiawei . 2018年全国设备监测诊断与维护学术会议暨第十六届全国设备故障诊断学术会议、第十八届全国设备监测与诊断学术会议、2018年全国设备诊断工程会议 . 2018
• 5. 基于主成分分析和多分类器融合的滚动轴承故障分类研究 [A] . 夏敏 . 2012