Song Zhihuan

Citirano

	Sve	Od 2020.
Citati	13551	7147
H-indeks	59	42
i10-indeks	200	135

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Suautori

Zhiqiang GeZhejiang University, Peng Cheng Laboratory, Southeast UniversityPotvrđena adresa e-pošte na seu.edu.cn
Le ZhouProfessor of Control Science & Engineering, Zhejiang University of Science and TechnologyPotvrđena adresa e-pošte na zust.edu.cn
Junghui ChenProfessor of Chemical Engineering, Chung-Yuan Christian UniversityPotvrđena adresa e-pošte na wavenet.cycu.edu.tw
Furong GaoHong Kong University of Science and TechnologyPotvrđena adresa e-pošte na ust.hk
Xiaofeng YuanCentral South UniversityPotvrđena adresa e-pošte na csu.edu.cn
Biao HuangUniversity of Alberta, CanadaPotvrđena adresa e-pošte na ualberta.ca
Lei XieZhejiang UniversityPotvrđena adresa e-pošte na zju.edu.cn
miao aiminPhD candidate, Control Science & Engineering, Zhejiang UniversityPotvrđena adresa e-pošte na zju.edu.cn
Qiaojun WenGF SecuritiesPotvrđena adresa e-pošte na stanford.edu
Manabu KanoDepartment of Systems Science, Graduate School of Informatics, Kyoto UniversityPotvrđena adresa e-pošte na human.sys.i.kyoto-u.ac.jp
Uwe KrugerRensselaer Polytechnic InstitutePotvrđena adresa e-pošte na rpi.edu
S. Joe QinLingnan University, Hong Kong, President, Member of EASA, Fellow of HKAES, NAI, IEEE, IFAC, AIChEPotvrđena adresa e-pošte na ln.edu.hk
Yong YanHangzhou International Innovation Institute, Beihang UniversityPotvrđena adresa e-pošte na buaa.edu.cn
Tao ChenProfessor, University of SurreyPotvrđena adresa e-pošte na surrey.ac.uk
Xiaogang Jin Ph. D.AI Institute, College of Computer Science, Zhejiang UniversityPotvrđena adresa e-pošte na cise.zju.edu.cn
Yiming LouApple Inc.Potvrđena adresa e-pošte na apple.com
张宏伟西安工程大学Potvrđena adresa e-pošte na zju.edu.cn

Prati

Song Zhihuan

Professor of Control Science & Engineering, Zhejiang University

Potvrđena adresa e-pošte na zju.edu.cn - Početna stranica

Industrial big data process monitoring process control fault diagnosis


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Review of recent research on data-based process monitoring Z Ge, Z Song, F Gao Industrial & Engineering Chemistry Research 52 (10), 3543-3562, 2013	1094	2013
Data mining and analytics in the process industry: The role of machine learning Z Ge, Z Song, SX Ding, B Huang Ieee Access 5, 20590-20616, 2017	1010	2017
Process monitoring based on independent component analysis− principal component analysis (ICA− PCA) and similarity factors Z Ge, Z Song Industrial & Engineering Chemistry Research 46 (7), 2054-2063, 2007	356	2007
Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data J Zhu, Z Ge, Z Song, F Gao Annual Reviews in Control 46, 107-133, 2018	302	2018
Distributed parallel PCA for modeling and monitoring of large-scale plant-wide processes with big data J Zhu, Z Ge, Z Song IEEE Transactions on Industrial Informatics 13 (4), 1877-1885, 2017	284	2017
Distributed PCA model for plant-wide process monitoring Z Ge, Z Song Industrial & Engineering Chemistry Research 52 (5), 1947-1957, 2013	261	2013
Improved kernel PCA-based monitoring approach for nonlinear processes Z Ge, C Yang, Z Song Chemical Engineering Science 64 (9), 2245-2255, 2009	238	2009
A comparative study of just-in-time-learning based methods for online soft sensor modeling Z Ge, Z Song Chemometrics and Intelligent Laboratory Systems 104 (2), 306-317, 2010	224	2010
Online monitoring of nonlinear multiple mode processes based on adaptive local model approach Z Ge, Z Song Control Engineering Practice 16 (12), 1427-1437, 2008	200	2008
Global–local structure analysis model and its application for fault detection and identification M Zhang, Z Ge, Z Song, R Fu Industrial & Engineering Chemistry Research 50 (11), 6837-6848, 2011	186	2011
Nonlinear process monitoring based on linear subspace and Bayesian inference Z Ge, M Zhang, Z Song Journal of Process Control 20 (5), 676-688, 2010	183	2010
Mixture Bayesian regularization method of PPCA for multimode process monitoring Z Ge, Z Song AIChE journal 56 (11), 2838-2849, 2010	182	2010
Weighted linear dynamic system for feature representation and soft sensor application in nonlinear dynamic industrial processes X Yuan, Y Wang, C Yang, Z Ge, Z Song, W Gui IEEE Transactions on Industrial Electronics 65 (2), 1508-1517, 2017	176	2017
Semisupervised JITL framework for nonlinear industrial soft sensing based on locally semisupervised weighted PCR X Yuan, Z Ge, B Huang, Z Song, Y Wang IEEE Transactions on Industrial Informatics 13 (2), 532-541, 2016	174	2016
Multimode process monitoring based on Bayesian method Z Ge, Z Song Journal of Chemometrics: A Journal of the Chemometrics Society 23 (12), 636-650, 2009	173	2009
Locally weighted kernel principal component regression model for soft sensing of nonlinear time-variant processes X Yuan, Z Ge, Z Song Industrial & Engineering Chemistry Research 53 (35), 13736-13749, 2014	171	2014
Batch process monitoring based on support vector data description method Z Ge, F Gao, Z Song Journal of Process Control 21 (6), 949-959, 2011	150	2011
A review on autoencoder based representation learning for fault detection and diagnosis in industrial processes J Qian, Z Song, Y Yao, Z Zhu, X Zhang Chemometrics and Intelligent Laboratory Systems 231, 104711, 2022	139	2022
Soft sensor model development in multiphase/multimode processes based on Gaussian mixture regression X Yuan, Z Ge, Z Song Chemometrics and Intelligent Laboratory Systems 138, 97-109, 2014	135	2014
Hilbert–Huang transform based signal analysis for the characterization of gas–liquid two-phase flow H Ding, Z Huang, Z Song, Y Yan Flow measurement and instrumentation 18 (1), 37-46, 2007	134	2007

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