Direct Remaining Useful Life Estimation Based on Support Vector Regression

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2016.2623260 ◽

2017 ◽

Vol 64 (3) ◽

pp. 2276-2285 ◽

Author(s):

Racha Khelif ◽

Brigitte Chebel-Morello ◽

Simon Malinowski ◽

Emna Laajili ◽

Farhat Fnaiech ◽

...

Keyword(s):

Support Vector Regression ◽

Remaining Useful Life ◽

Support Vector ◽

Life Estimation ◽

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Support Vector Regression Assisted Auxiliary Particle Filter based Remaining Useful Life Estimation of GaN FET

IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon.2018.8591696 ◽

2018 ◽

Author(s):

Moinul Shahidul Haque ◽

Seungdeog Choi

Keyword(s):

Particle Filter ◽

Support Vector Regression ◽

Remaining Useful Life ◽

Support Vector ◽

Life Estimation ◽

Auxiliary Particle ◽

Useful Life ◽

Auxiliary Particle Filter ◽

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Remaining useful life estimation of Lithium-ion battery based on interacting multiple model particle filter and support vector regression

Reliability Engineering & System Safety ◽

10.1016/j.ress.2021.107542 ◽

2021 ◽

Vol 210 ◽

pp. 107542 ◽

Author(s):

Sai Li ◽

Huajing Fang ◽

Bing Shi

Keyword(s):

Particle Filter ◽

Support Vector Regression ◽

Lithium Ion Battery ◽

Lithium Ion ◽

Remaining Useful Life ◽

Support Vector ◽

Interacting Multiple Model ◽

Multiple Model ◽

Life Estimation ◽

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A method based on improved ant lion optimization and support vector regression for remaining useful life estimation of lithium‐ion batteries

Energy Science & Engineering ◽

10.1002/ese3.460 ◽

2019 ◽

Vol 7 (6) ◽

pp. 2797-2813 ◽

Author(s):

Yingzhou Wang ◽

Yulong Ni ◽

Na Li ◽

Shuai Lu ◽

Shude Zhang ◽

...

Keyword(s):

Support Vector Regression ◽

Lithium Ion Batteries ◽

Lithium Ion ◽

Remaining Useful Life ◽

Support Vector ◽

Life Estimation ◽

Ant Lion Optimization ◽

Ant Lion ◽

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Remaining useful life estimation based on nonlinear feature reduction and support vector regression

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2013.02.006 ◽

2013 ◽

Vol 26 (7) ◽

pp. 1751-1760 ◽

Author(s):

T. Benkedjouh ◽

K. Medjaher ◽

N. Zerhouni ◽

S. Rechak

Keyword(s):

Support Vector Regression ◽

Remaining Useful Life ◽

Feature Reduction ◽

Support Vector ◽

Life Estimation ◽

Useful Life ◽

Nonlinear Feature

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Bearing remaining useful life prediction based on optimized support vector regression model with denoising technique

2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) ◽

10.1109/icps49255.2021.9468258 ◽

2021 ◽

Author(s):

Sheng Cao ◽

Yuchen Jiang ◽

Hao Luo ◽

Yanming Fu ◽

Xianling Li ◽

...

Keyword(s):

Regression Model ◽

Support Vector Regression ◽

Life Prediction ◽

Remaining Useful Life ◽

Support Vector ◽

Support Vector Regression Model ◽

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Application of Support Vector Regression to predict the Remaining useful life of Polymerized Styrene Butadiene Rubber of cable insulation

2019 Prognostics and System Health Management Conference (PHM-Qingdao) ◽

10.1109/phm-qingdao46334.2019.8942888 ◽

2019 ◽

Author(s):

Bingxiu Guo ◽

Xiaohui Wang ◽

Yanyan Wang ◽

Haoyun Su ◽

Sijian Chao

Keyword(s):

Support Vector Regression ◽

Remaining Useful Life ◽

Styrene Butadiene Rubber ◽

Support Vector ◽

Butadiene Rubber ◽

Cable Insulation ◽

Useful Life ◽

Styrene Butadiene

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Prediction of Bearing Remaining Useful Life based on Mutual Information and Support Vector Regression Model

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/533/1/012032 ◽

2019 ◽

Vol 533 ◽

pp. 012032 ◽

Author(s):

Wentao Sui ◽

Dan Zhang ◽

Xiaomei Qiu ◽

Wei Zhang ◽

Lin Yuan

Keyword(s):

Mutual Information ◽

Regression Model ◽

Support Vector Regression ◽

Remaining Useful Life ◽

Support Vector ◽

Support Vector Regression Model ◽

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Battery remaining useful life prediction algorithm based on support vector regression and unscented particle filter

2016 IEEE International Conference on Prognostics and Health Management (ICPHM) ◽

10.1109/icphm.2016.7542844 ◽

2016 ◽

Author(s):

Xi Peng ◽

Chao Zhang ◽

Yang Yu ◽

Yong Zhou

Keyword(s):

Particle Filter ◽

Support Vector Regression ◽

Life Prediction ◽

Remaining Useful Life ◽

Prediction Algorithm ◽

Support Vector ◽

Unscented Particle Filter ◽

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A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation

Applied Energy ◽

10.1016/j.apenergy.2015.08.119 ◽

2015 ◽

Vol 159 ◽

pp. 285-297 ◽

Author(s):

Meru A. Patil ◽

Piyush Tagade ◽

Krishnan S. Hariharan ◽

Subramanya M. Kolake ◽

Taewon Song ◽

...

Keyword(s):

Support Vector Machine ◽

Remaining Useful Life ◽

Support Vector ◽

Li Ion Battery ◽

Life Estimation ◽

Li Ion ◽

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Estimation of Remaining Useful Life of Bearings based on Support Vector Regression

Indian Journal of Science and Technology ◽

10.17485/ijst/2016/v9i10/88997 ◽

2016 ◽

Vol 9 (10) ◽

Author(s):

R. Satishkumar ◽

V. Sugumaran

Keyword(s):

Support Vector Regression ◽

Remaining Useful Life ◽

Support Vector ◽

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