A Kriging Surrogate Modeling to the Sensitivity Analysis of Analog Circuits

2020 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) ◽

10.1109/dts48731.2020.9196069 ◽

2020 ◽

Author(s):

Omaya Bellaaj Kchaou ◽

Mouna Kotti ◽

Amel Garbaya ◽

Mourad Fakhfakh

Keyword(s):

Sensitivity Analysis ◽

Analog Circuits ◽

Surrogate Modeling ◽

Kriging Surrogate Modeling

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A combined sensitivity analysis and kriging surrogate modeling for early validation of health indicators

Reliability Engineering & System Safety ◽

10.1016/j.ress.2014.03.007 ◽

2014 ◽

Vol 130 ◽

pp. 12-26 ◽

Author(s):

Benjamin Lamoureux ◽

Nazih Mechbal ◽

Jean-Rémi Massé

Keyword(s):

Sensitivity Analysis ◽

Surrogate Modeling ◽

Health Indicators ◽

Early Validation ◽

Kriging Surrogate Modeling

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Global kriging surrogate modeling for general time-variant reliability-based design optimization problems

Structural and Multidisciplinary Optimization ◽

10.1007/s00158-018-1938-y ◽

2018 ◽

Vol 58 (3) ◽

pp. 955-968 ◽

Author(s):

Lara Hawchar ◽

Charbel-Pierre El Soueidy ◽

Franck Schoefs

Keyword(s):

Design Optimization ◽

Optimization Problems ◽

Surrogate Modeling ◽

Reliability Based Design Optimization ◽

Reliability Based Design ◽

Kriging Surrogate Modeling ◽

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Uniform Design and Kriging Surrogate Modeling in Improvement of Warpage and Ejection Time of an Injection Molded Plastic Spur Gear

Lecture Notes in Electrical Engineering - Proceedings of the 2nd International Conference on Intelligent Technologies and Engineering Systems (ICITES2013) ◽

10.1007/978-3-319-04573-3_74 ◽

2014 ◽

pp. 593-600 ◽

Author(s):

Cheng-Kang Lee ◽

Pang-Chieh Lin

Keyword(s):

Uniform Design ◽

Surrogate Modeling ◽

Spur Gear ◽

Ejection Time ◽

Injection Molded ◽

Injection Molded Plastic ◽

Kriging Surrogate Modeling

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Adaptive surrogate modeling by ANOVA and sparse polynomial dimensional decomposition for global sensitivity analysis in fluid simulation

Journal of Computational Physics ◽

10.1016/j.jcp.2016.03.026 ◽

2016 ◽

Vol 314 ◽

pp. 557-589 ◽

Author(s):

Kunkun Tang ◽

Pietro M. Congedo ◽

Rémi Abgrall

Keyword(s):

Sensitivity Analysis ◽

Global Sensitivity Analysis ◽

Surrogate Modeling ◽

Fluid Simulation ◽

Global Sensitivity ◽

Sparse Polynomial ◽

Dimensional Decomposition ◽

Polynomial Dimensional Decomposition

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Efficient symbolic sensitivity analysis of analog circuits using element-coefficient diagrams

Proceedings of the ASP-DAC 2005. Asia and South Pacific Design Automation Conference, 2005. ◽

10.1109/aspdac.2005.1466164 ◽

2005 ◽

Author(s):

Huiying Yang ◽

M. Ranjan ◽

W. Verhaegen ◽

Mengmeng Ding ◽

R. Vemuri ◽

...

Keyword(s):

Sensitivity Analysis ◽

Analog Circuits

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Using Cross-Validation to Design Trend Function in Kriging Surrogate Modeling

AIAA Journal ◽

10.2514/1.j052879 ◽

2014 ◽

Vol 52 (10) ◽

pp. 2313-2327 ◽

Author(s):

Haoquan Liang ◽

Ming Zhu ◽

Zhe Wu

Keyword(s):

Cross Validation ◽

Surrogate Modeling ◽

Trend Function ◽

Kriging Surrogate Modeling

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Hard faults diagnosis in analog circuits using sensitivity analysis

Digest of Papers Eleventh Annual 1993 IEEE VLSI Test Symposium ◽

10.1109/vtest.1993.313320 ◽

2002 ◽

Author(s):

Yunsheng Lu ◽

R. Dandapani

Keyword(s):

Sensitivity Analysis ◽

Analog Circuits ◽

Faults Diagnosis

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Test Frequency Compaction for Fault Detection in Analog Circuits Using Sensitivity Analysis

2018 IEEE 13th Dallas Circuits and Systems Conference (DCAS) ◽

10.1109/dcas.2018.8620115 ◽

2018 ◽

Author(s):

Ajaykumar Adha ◽

Mehrdad Nourani

Keyword(s):

Sensitivity Analysis ◽

Fault Detection ◽

Analog Circuits ◽

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SFG Based Fault Simulation of Linear Analog Circuits Using Fault Classification and Sensitivity Analysis

Communications in Computer and Information Science - VLSI Design and Test ◽

10.1007/978-981-10-7470-7_19 ◽

2017 ◽

pp. 179-190

Author(s):

Rahul Bhattacharya ◽

S. H. M. Ragamai ◽

Subindu Kumar

Keyword(s):

Sensitivity Analysis ◽

Analog Circuits ◽

Fault Simulation ◽

Fault Classification ◽

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A CFD-based Kriging surrogate modeling approach for predicting device-specific hemolysis power law coefficients in blood-contacting medical devices

Biomechanics and Modeling in Mechanobiology ◽

10.1007/s10237-019-01126-4 ◽

2019 ◽

Vol 18 (4) ◽

pp. 1005-1030 ◽

Author(s):

Brent A. Craven ◽

Kenneth I. Aycock ◽

Luke H. Herbertson ◽

Richard A. Malinauskas

Keyword(s):

Power Law ◽

Medical Devices ◽

Surrogate Modeling ◽

Modeling Approach ◽

Kriging Surrogate Modeling

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