Tool wear predictive model based on least squares support vector machines

Dongfeng Shi; Nabil N. Gindy

doi:10.1016/j.ymssp.2006.07.016

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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Tool wear model based on least squares support vector machines and Kalman filter

Production Engineering ◽

10.1007/s11740-014-0527-1 ◽

2014 ◽

Vol 8 (1-2) ◽

pp. 101-109 ◽

Cited By ~ 8

Author(s):

Haiyan Zhang ◽

Chen Zhang ◽

Jilin Zhang ◽

Laishui Zhou

Keyword(s):

Kalman Filter ◽

Support Vector Machines ◽

Tool Wear ◽

Least Squares ◽

Support Vector ◽

Wear Model ◽

Model Based ◽

Vector Machines

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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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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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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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The Floating Crane Gear Fault Classification Model Based on Weighted Kernel Least Squares Support Vector Machines

Advances in Mechanical and Electronic Engineering - Lecture Notes in Electrical Engineering ◽

10.1007/978-3-642-31507-7_59 ◽

2012 ◽

pp. 363-368

Author(s):

BinHuang Lu ◽

YongQi Chen ◽

QingE Dai

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Classification Model ◽

Fault Classification ◽

Support Vector ◽

Model Based ◽

Vector Machines ◽

Gear Fault ◽

Weighted Kernel ◽

Floating Crane

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A Novel Hyperspectral Unmixing Method based on Least Squares Twin Support Vector Machines

European Journal of Remote Sensing ◽

10.1080/22797254.2021.1877572 ◽

2021 ◽

Vol 54 (1) ◽

pp. 72-85

Author(s):

Liguo Wang ◽

San Wang ◽

Xiuping Jia ◽

Tianyi Bi

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Twin Support Vector Machines ◽

Hyperspectral Unmixing ◽

Vector Machines

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On-line of modeling ship manoeuvring motion by using least squares support vector machines

2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management ◽

10.1109/icieem.2011.6035492 ◽

2011 ◽

Author(s):

Yan Wang ◽

Hao Meng ◽

Zhi-lin Liu ◽

Rui-ting Yu

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Ship Manoeuvring ◽

Vector Machines ◽

On Line

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Offline modeling of nonlinear systems based on least squares support vector machines

2009 International Conference on Computer Engineering & Systems ◽

10.1109/icces.2009.5383287 ◽

2009 ◽

Cited By ~ 1

Author(s):

M. El Bardini ◽

H. M. Khalil ◽

N. El Rabie ◽

M. Sharaf

Keyword(s):

Support Vector Machines ◽

Nonlinear Systems ◽

Least Squares ◽

Support Vector ◽

Vector Machines

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