Fault Prediction Model Based on Phase Space Reconstruction and Least Squares Support Vector Machines

2009 Ninth International Conference on Hybrid Intelligent Systems ◽

10.1109/his.2009.307 ◽

2009 ◽

Author(s):

Yunhong Gao ◽

Yibo Li

Keyword(s):

Support Vector Machines ◽

Phase Space ◽

Prediction Model ◽

Least Squares ◽

Phase Space Reconstruction ◽

Fault Prediction ◽

Support Vector ◽

Model Based ◽

Vector Machines

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Imperial smelting furnace fault prediction model based on hammerstein model using least squares support vector machines

2013 25th Chinese Control and Decision Conference (CCDC) ◽

10.1109/ccdc.2013.6561086 ◽

2013 ◽

Author(s):

Shaohua Jiang ◽

Weihua Gui ◽

Zhaohui Tang

Keyword(s):

Support Vector Machines ◽

Prediction Model ◽

Least Squares ◽

Fault Prediction ◽

Hammerstein Model ◽

Support Vector ◽

Smelting Furnace ◽

Model Based ◽

Vector Machines ◽

Imperial Smelting Furnace

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A Recursive Method of Identification of Hammerstein Model Based on Least Squares Support Vector Machines

IFAC Proceedings Volumes ◽

10.3182/20080706-5-kr-1001.00839 ◽

2008 ◽

Vol 41 (2) ◽

pp. 4993-4998

Author(s):

Kun Chen ◽

Haiqing Wang ◽

Zhihuan Song

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Hammerstein Model ◽

Support Vector ◽

Recursive Method ◽

Model Based ◽

Vector Machines

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Prediction for the development data of oil field with multi-variable phase space reconstruction method and support vector machines

2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing ◽

10.1109/icci-cc.2013.6622290 ◽

2013 ◽

Author(s):

Hong Liu ◽

Jiangxin Feng ◽

Shuoliang Wang ◽

Xiaolong Zou ◽

Jing Zhou ◽

...

Keyword(s):

Support Vector Machines ◽

Phase Space ◽

Phase Space Reconstruction ◽

Oil Field ◽

Support Vector ◽

Reconstruction Method ◽

Variable Phase ◽

Vector Machines ◽

Development Data

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A real-time model based on least squares support vector machines and output bias update for the prediction of NO x emission from coal-fired power plant

Korean Journal of Chemical Engineering ◽

10.1007/s11814-014-0301-2 ◽

2015 ◽

Vol 32 (6) ◽

pp. 1029-1036 ◽

Cited By ~ 16

Author(s):

Faisal Ahmed ◽

Hyun Jun Cho ◽

Jin Kuk Kim ◽

Noh Uk Seong ◽

Yeong Koo Yeo

Keyword(s):

Support Vector Machines ◽

Power Plant ◽

Least Squares ◽

Real Time ◽

Support Vector ◽

Time Model ◽

Model Based ◽

Vector Machines

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Nonlinear Dynamic Classification of Momentary Mental Workload Using Physiological Features and NARX-Model-Based Least-Squares Support Vector Machines

IEEE Transactions on Human-Machine Systems ◽

10.1109/thms.2017.2700631 ◽

2017 ◽

Vol 47 (4) ◽

pp. 536-549 ◽

Cited By ~ 13

Author(s):

Jianhua Zhang ◽

Zhong Yin ◽

Rubin Wang

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Nonlinear Dynamic ◽

Mental Workload ◽

Support Vector ◽

Model Based ◽

Vector Machines ◽

Narx Model

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Classification of power quality combined disturbances based on phase space reconstruction and support vector machines

Journal of Zhejiang University SCIENCE A ◽

10.1631/jzus.a071261 ◽

2008 ◽

Vol 9 (2) ◽

pp. 173-181 ◽

Cited By ~ 10

Author(s):

Zhi-yong Li ◽

Wei-lin Wu

Keyword(s):

Support Vector Machines ◽

Phase Space ◽

Power Quality ◽

Phase Space Reconstruction ◽

Support Vector ◽

Vector Machines

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Tool wear predictive model based on least squares support vector machines

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2006.07.016 ◽

2007 ◽

Vol 21 (4) ◽

pp. 1799-1814 ◽

Cited By ~ 114

Author(s):

Dongfeng Shi ◽

Nabil N. Gindy

Keyword(s):

Support Vector Machines ◽

Tool Wear ◽

Least Squares ◽

Predictive Model ◽

Support Vector ◽

Model Based ◽

Vector Machines

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Nonlinear prediction of mobile-radio fading channel using recurrent least squares support vector machines and embedding phase space

2004 International Conference on Communications, Circuits and Systems (IEEE Cat. No.04EX914) ◽

10.1109/icccas.2004.1346063 ◽

2004 ◽

Author(s):

Jiancheng Sun ◽

Taiyi Zhang ◽

Feng Liu

Keyword(s):

Support Vector Machines ◽

Phase Space ◽

Least Squares ◽

Fading Channel ◽

Mobile Radio ◽

Support Vector ◽

Nonlinear Prediction ◽

Vector Machines

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Phase Space Reconstruction Based Classification of Power Disturbances Using Support Vector Machines

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-540-71701-0_73 ◽

2007 ◽

pp. 680-687

Author(s):

Zhiyong Li ◽

Weilin Wu

Keyword(s):

Support Vector Machines ◽

Phase Space ◽

Phase Space Reconstruction ◽

Support Vector ◽

Vector Machines ◽

Power Disturbances

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Profitability Prediction Model Based on Support Vector Machines

Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) ◽

10.1109/fskd.2007.460 ◽

2007 ◽

Author(s):

Ping Zhong ◽

Yong Cen ◽

Bin Xi

Keyword(s):

Support Vector Machines ◽

Prediction Model ◽

Support Vector ◽

Model Based ◽

Vector Machines

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