Monte Carlo simulation using support vector machine and kernel density for failure probability estimation

Reliability Engineering & System Safety ◽

10.1016/j.ress.2021.107481 ◽

2021 ◽

Vol 209 ◽

pp. 107481

Author(s):

Seunggyu Lee

Keyword(s):

Support Vector Machine ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Failure Probability ◽

Kernel Density ◽

Probability Estimation ◽

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Improvement of the Support Vector Machine-based Monte Carlo Simulation for Calculating Failure Probability

Transactions of the Korean Society of Mechanical Engineers A ◽

10.3795/ksme-a.2020.44.4.269 ◽

2020 ◽

Vol 44 (4) ◽

pp. 269-279

Author(s):

Seunggyu Lee ◽

Jae Hoon Kim

Keyword(s):

Support Vector Machine ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Failure Probability ◽

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Support Vector machine and Monte Carlo simulation for robust optimization of industrial processes

2015 International Conference on Industrial Engineering and Systems Management (IESM) ◽

10.1109/iesm.2015.7380275 ◽

2015 ◽

Author(s):

Christophe Duhamel ◽

Benjamin Vincent ◽

Nikolay Tchernev ◽

Libo Ren

Keyword(s):

Support Vector Machine ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Robust Optimization ◽

Industrial Processes ◽

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Reliability Evaluation Using Monte Carlo Simulation and Support Vector Machine

Lecture Notes in Computer Science - Computational Science — ICCS 2002 ◽

10.1007/3-540-46043-8_14 ◽

2002 ◽

pp. 147-155 ◽

Author(s):

C. M. Rocco Sanseverino ◽

J. A. Moreno

Keyword(s):

Support Vector Machine ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Reliability Evaluation ◽

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Probabilistic evaluation of drilling rate index based on a least square support vector machine and Monte Carlo simulation

Bulletin of Engineering Geology and the Environment ◽

10.1007/s10064-018-1327-1 ◽

2018 ◽

Vol 78 (5) ◽

pp. 3111-3118 ◽

Author(s):

Zhongliang Ru ◽

Hongbo Zhao ◽

Changxing Zhu

Keyword(s):

Support Vector Machine ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Least Square ◽

Support Vector ◽

Drilling Rate ◽

Probabilistic Evaluation ◽

Drilling Rate Index

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Slope reliability analysis by updated support vector machine and Monte Carlo simulation

Natural Hazards ◽

10.1007/s11069-012-0396-x ◽

2012 ◽

Vol 65 (1) ◽

pp. 707-722 ◽

Author(s):

Shaojun Li ◽

Hong-Bo Zhao ◽

Zhongliang Ru

Keyword(s):

Support Vector Machine ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Reliability Analysis ◽

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An efficient reliability method combining adaptive Support Vector Machine and Monte Carlo Simulation

Structural Safety ◽

10.1016/j.strusafe.2017.04.006 ◽

2017 ◽

Vol 67 ◽

pp. 85-95 ◽

Author(s):

Qiujing Pan ◽

Daniel Dias

Keyword(s):

Support Vector Machine ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Support Vector ◽

Reliability Method ◽

Adaptive Support

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A dynamic reliability analysis method based on support vector machine and Monte Carlo simulation

Journal of Computational Methods in Sciences and Engineering ◽

10.3233/jcm-193473 ◽

2020 ◽

Vol 20 (1) ◽

pp. 149-155

Author(s):

Xiuqiang Pan ◽

Yangu Zhang ◽

Yi Wan

Keyword(s):

Support Vector Machine ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Reliability Analysis ◽

Support Vector ◽

Analysis Method ◽

Dynamic Reliability

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Application of Markov modelling and Monte Carlo simulation technique in failure probability estimation — A consideration of corrosion defects of internally corroded pipelines

Engineering Failure Analysis ◽

10.1016/j.engfailanal.2016.06.004 ◽

2016 ◽

Vol 68 ◽

pp. 159-171 ◽

Author(s):

Chinedu I. Ossai ◽

Brian Boswell ◽

Ian J. Davies

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Failure Probability ◽

Simulation Technique ◽

Probability Estimation ◽

Markov Modelling ◽

Monte Carlo Simulation Technique ◽

Corrosion Defects

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Advanced Monte Carlo Simulation Techniques for System Failure Probability Estimation

Springer Series in Reliability Engineering - The Monte Carlo Simulation Method for System Reliability and Risk Analysis ◽

10.1007/978-1-4471-4588-2_6 ◽

2012 ◽

pp. 109-156

Author(s):

Enrico Zio

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Failure Probability ◽

Probability Estimation ◽

System Failure ◽

Simulation Techniques

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Practical Applications of Advanced Monte Carlo Simulation Techniques for System Failure Probability Estimation

Springer Series in Reliability Engineering - The Monte Carlo Simulation Method for System Reliability and Risk Analysis ◽

10.1007/978-1-4471-4588-2_7 ◽

2012 ◽

pp. 157-179

Author(s):

Enrico Zio

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Failure Probability ◽

Probability Estimation ◽

System Failure ◽

Practical Applications ◽

Simulation Techniques

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