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北京大学 [12]

清华大学 [9]

兰州理工大学 [5]

自动化研究所 [4]

安徽大学 [4]

华南理工大学 [2]

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浏览/检索结果: 共41条，第1-10条

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	A method for degradation prediction based on Hidden Semi-Markov models with mixture of Kernels 期刊论文 Computers in Industry, 2020, 卷号: 122, 页码: 1-13 作者: Yang TJ(杨天吉); Zheng ZY(郑泽宇); Qi L(亓亮) 收藏 \| 浏览/下载：4/0 \| 提交时间：2020/08/29 Prognostics and health management Remaining useful lifetime Hidden semi-Markov models Kernel method approximationa
	Non-gaussian batch process monitoring based on MWSVDD of similarity measure 期刊论文 Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition), 2019, 卷号: 49, 期号: 2, 页码: 259-266 作者: Zhao, Xiaoqiang; W., Zhou 收藏 \| 浏览/下载：13/0 \| 提交时间：2020/11/14 Bayesian networks Data description Gaussian distribution Gaussian noise (electronic) Inference engines Principal component analysis Process control Process monitoring Testing Vector spaces Batch process Mixture distributions Multiphase Similarity measure Support vector data description
	Sensor Control Strategy Based on Gaussian Mixture Multi-target Filter 期刊论文 Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2019, 卷号: 47, 期号: 3, 页码: 521-530 作者: Chen, Hui; He, Zhong-Liang; Lian, Feng; Li, Hui-Bo 收藏 \| 浏览/下载：19/0 \| 提交时间：2020/11/14 Gaussian distribution Kalman filters Markov processes Sampling Finite set statistics Gaussian mixtures Multi-target tracking Partially observable Markov decision process Sensor control
	Probabilistic assessment of wind power accommodation considering load randomness 期刊论文 Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2019, 卷号: 40, 期号: 2, 页码: 341-347 作者: Zhang, Xiaoying; Wang, Bin; Wang, Kun; Wang, Xiaolan; Chen, Wei 收藏 \| 浏览/下载：12/0 \| 提交时间：2020/11/14 Electric load flow Gaussian distribution Markov processes Wind power Gaussian Mixture Model Markov Chain Monte-Carlo Power flow equations Probabilistic assessments Probability modeling Slice samplings Standard deviation Wind power accommodations
	Monitoring and Quality Prediction of CPLS Batch Process Based on Kernel Entropy Projection 期刊论文 Gao Xiao Hua Xue Gong Cheng Xue Bao/Journal of Chemical Engineering of Chinese Universities, 2018, 卷号: 32, 期号: 5, 页码: 1186-1193 作者: Zhao, Xiao-Qiang; Zhou, Wen-Wei; Hui, Yong-Yong 收藏 \| 浏览/下载：19/0 \| 提交时间：2020/11/14 Forecasting Gaussian distribution Partial discharges Batch process Gaussian Mixture Model Multimodes Penicillin fermentation process Principal Components Projection to latent structures Quality prediction Weight coefficients
	Comparative study on monitoring schemes for non-Gaussian distributed processes 期刊论文 JOURNAL OF PROCESS CONTROL, 2018, 卷号: 67, 页码: 69-82 作者: Li, Gang; Qin, S. Joe 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/30 Non-Gaussian distribution Independent component analysis Kernel density estimation Gaussian mixture model Support vector data description Statistical pattern analysis Neyman Pearson lemma
	A novel optimization algorithm for MIMO Hammerstein model identification under heavy-tailed noise 期刊论文 ISA TRANSACTIONS, 2018, 卷号: 72, 页码: 77-91 作者: Jin, Qibing; Wang, Hehe; Su, Qixin; Jiang, Beiyan; Liu, Qie 收藏 \| 浏览/下载：16/0 \| 提交时间：2019/12/16 Cuckoo Search Gmda Mimo Hammerstein Model Heavy-tailed Noise Radial Basis Function Neural Network
	Investigating Hydrochemical Groundwater Processes in an Inland Agricultural Area with Limited Data: A Clustering Approach 期刊论文 WATER, 2017 Wu, Xin; Zheng, Yi; Zhang, Juan; Wu, Bin; Wang, Sai; Tian, Yong; Li, Jinguo; Meng, Xue 收藏 \| 浏览/下载：5/0 \| 提交时间：2017/12/03 Gaussian mixture model fuzzy clustering hydrochemical processes groundwater Heihe River Basin regionalization HEIHE RIVER-BASIN MULTIVARIATE STATISTICAL-ANALYSIS SURFACE-WATER NORTHWEST CHINA DISCRIMINANT-ANALYSIS VARIABLE SELECTION SEMIARID REGIONS GEOCHEMICAL DATA MIXTURE-MODELS CHEMISTRY
	Dynamic soft sensor development based on Gaussian mixture regression for fermentation processes 期刊论文 CHINESE JOURNAL OF CHEMICAL ENGINEERING, 2017, 卷号: 25, 期号: 1, 页码: 116-122 - 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/24 Dynamic modeling Process systems Instrumentation Gaussian mixture regression Fermentation processes
	Probabilistic load flow calculation based on slice sampling for wind farms integration system 期刊论文 Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2016, 卷号: 31, 期号: 23, 页码: 100-106 作者: Zhang, Xiaoying; Wang, Kun; Zhang, Labao 收藏 \| 浏览/下载：3/0 \| 提交时间：2020/11/14 Electric utilities Integration Intelligent systems Markov processes Monte Carlo methods Probability distributions Wind power Gibbs sampling Markov chain monte carlo simulation Probabilistic load flow Slice samplings Wind farm

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