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浏览/检索结果: 共9条，第1-9条 帮助 限定条件 内容类型：会议论文     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 Process Monitoring Method Based on Dual-Parameter Optimization 会议论文 作者:  Jiarula, Yasenjiang;  Sun, Wenlei;  Fan, Jun;  Tao, Qing;  Musha, Reyihan’guli 收藏  |  浏览/下载：4/0  |  提交时间：2019/11/19 Chemical engineering systems  Fault detection rate  Kernel function  Kernel principal component analyses (KPCA)  Maximum detection rates  Nonlinear characteristics  Nonlinear mapping functions  Principal Components   Fault Diagnosis for Transmission System of Large Equipment Using Nonlinear Output Frequency Response Function 会议论文 作者:  Zhang, Jialiang;  Cao, Jianfu;  Wu, Jie;  Wang, Lin 收藏  |  浏览/下载：7/0  |  提交时间：2019/11/26 Different frequency  Kernel principal component analyses (KPCA)  Local characteristics  Nonlinear frequency  Non-linear output frequency response function  Nonlinear spectrum  Numerical control equipments  Transmission systems   An improved KPCA algorithm of chemical process fault diagnosis based on RVM 会议论文 Xi'an, China, July 26, 2013 - July 28, 2013 作者:  Zhao, Xiaoqiang;  Xue, Yongfei;  Yang, Wu 收藏  |  浏览/下载：2/0  |  提交时间：2020/11/15 Failure analysis  Principal component analysis  Process control  Support vector machines  Vector spaces  Vectors  Combined algorithms  Fault identifications  Kernel principal component analyses (KPCA)  KPCA-RVM  KPCA-SVM  Relevance Vector Machine  TE process  Tennessee Eastman   An improved FVS-KPCA method of fault detection on TE process 会议论文 Guilin, Guangxi, China, July 31, 2012 - August 2, 2012 作者:  Zhao, Xiaoqiang;  Wang, Xinming;  Yang, Wu 收藏  |  浏览/下载：14/0  |  提交时间：2020/11/15 Chemical detection  Chemical industry  Feature extraction  Manufacture  Principal component analysis  Complex nonlinear system  Detection methods  Feature vector selection  Kernel matrices  Kernel principal component analyses (KPCA)  Sample sets  Tennessee Eastman  Tennessee EastmanPprocess   A fault detection algorithm based on wavelet denoising and KPCA 会议论文 Changsha, China, April 21, 2012 - April 22, 2012 作者:  Zhao, Xiaoqiang;  Wang, Xinming 收藏  |  浏览/下载：11/0  |  提交时间：2020/11/15 Chemical industry  Computer control systems  Mathematical transformations  Principal component analysis  Signal detection  Wavelet analysis  Fault detection algorithm  Kernel principal component analyses (KPCA)  KPCA  Nonlinear problems  Random disturbances  TE process  Tennessee Eastman  Wavelet denoising   An improved KPCA method of fault detection based on wavelet denoising 会议论文 作者:  Zhao, Xiaoqiang;  Li, Zhanming 收藏  |  浏览/下载：8/0  |  提交时间：2020/11/15 Data handling  Principal component analysis  Wavelet analysis  Kernel matrices  Kernel principal component analyses (KPCA)  Random disturbances  Sample sets  Tennessee Eastman  Tennessee Eastman process  Wavelet denoising  Wavelet denoising method   Visual object tracking based on incremental kernel PCA 会议论文 作者:  Sun, Li;  Liu, Guizhong 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/10 De-noising  Input space  Kernel principal component analyses (KPCA)  Particle filter  Pose variation  State-of-the-art methods  Tracking objects  Visual object tracking   Classifying driving mental fatigue based on multivariate autoregressive models and kernel learning algorithms 会议论文 作者:  Zhao, Chunlin;  Zheng, Chongxun;  Zhao, Min;  Liu, Jianping 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/18 Driving mental fatigues  Electro-encephalogram (EEG)  Electroencephalographic signals  Kernel principal component analyses (KPCA)  KPCA  Multivariate autoregressive  Multivariate autoregressive models  MVAR   Fault detection and identification in NPP instruments using kernel principal component analysis 会议论文 作者:  Ma, Jianping;  Jiang, Jin 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/18 Fault detection and identification  Fault isolation  Kernel principal component analyses (KPCA)  Mean values  Sensor reconstruction