Pipe thinning model development for direct current potential drop data with machine learning approach

Nuclear Engineering and Technology ◽

10.1016/j.net.2019.10.004 ◽

2020 ◽

Vol 52 (4) ◽

pp. 784-790 ◽

Author(s):

Kyungha Ryu ◽

Taehyun Lee ◽

Dong-cheon Baek ◽

Jong-won Park

Keyword(s):

Machine Learning ◽

Direct Current ◽

Model Development ◽

Potential Drop ◽

Learning Approach ◽

Machine Learning Approach ◽

Direct Current Potential Drop ◽

Current Potential

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Qualitative Study on Cable Breakage of Nb3Sn CICC Based on Direct Current Potential Drop Method

IEEE Transactions on Applied Superconductivity ◽

10.1109/tasc.2021.3108754 ◽

2021 ◽

pp. 1-1

Author(s):

Xiaochuan Liu ◽

Jinggang Qin ◽

Zhenmao Chen ◽

Shuxia Tian

Keyword(s):

Qualitative Study ◽

Direct Current ◽

Potential Drop ◽

Drop Method ◽

Direct Current Potential Drop ◽

Current Potential

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A direct current potential drop method for evaluating oxide film thickness formed in high-temperature water

Mechanical Engineering Letters ◽

10.1299/mel.15-00632 ◽

2016 ◽

Vol 2 (0) ◽

pp. 15-00632-15-00632

Author(s):

Hideya ANZAI ◽

Ryo ISHIBASHI ◽

Masumi SAKA

Keyword(s):

High Temperature ◽

Film Thickness ◽

Direct Current ◽

Potential Drop ◽

High Temperature Water ◽

Oxide Film Thickness ◽

Direct Current Potential Drop ◽

Current Potential ◽

Temperature Water

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Direct current potential drop method for assessment of green compacts

Metal Powder Report ◽

10.1016/0026-0657(00)93423-4 ◽

2000 ◽

Vol 55 (5) ◽

pp. 49

Keyword(s):

Direct Current ◽

Potential Drop ◽

Drop Method ◽

Direct Current Potential Drop ◽

Current Potential

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A theoretical procedure for detection of simulated cracks in a pipe by the direct current–potential drop technique

Nuclear Engineering and Design ◽

10.1016/s0029-5493(02)00052-3 ◽

2002 ◽

Vol 216 (1-3) ◽

pp. 203-211 ◽

Author(s):

Wen-Hwa Chen ◽

Jen-Shiung Chen ◽

Huei-Lu Fang

Keyword(s):

Direct Current ◽

Potential Drop ◽

Drop Technique ◽

Theoretical Procedure ◽

Direct Current Potential Drop ◽

Current Potential

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On-Line Monitoring of Environment-Assisted Cracking in Nuclear Piping Using Array Probe Direct Current Potential Drop

Journal of Nondestructive Evaluation ◽

10.1007/s10921-015-0330-8 ◽

2015 ◽

Vol 35 (1) ◽

Author(s):

J. Y. Yoon ◽

Y. Kim ◽

S. Choi ◽

W. C. Nam ◽

I. S. Hwang ◽

...

Keyword(s):

Direct Current ◽

Potential Drop ◽

Array Probe ◽

On Line ◽

Direct Current Potential Drop ◽

Current Potential

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Application of Direct Current Potential Drop for the J-Integral vs. Crack Growth Resistance Curve Characterization

Evaluation of Existing and New Sensor Technologies for Fatigue, Fracture and Mechanical Testing ◽

10.1520/stp158420140057 ◽

2014 ◽

pp. 97-112 ◽

Author(s):

Xiang (Frank) Chen ◽

Randy K. Nanstad ◽

Mikhail A. Sokolov

Keyword(s):

Crack Growth ◽

Direct Current ◽

Potential Drop ◽

Crack Growth Resistance ◽

Resistance Curve ◽

Crack Growth Resistance Curve ◽

Direct Current Potential Drop ◽

Current Potential

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Robust direct current potential drop method to inspect cold pressed green bodies

Powder Metallurgy ◽

10.1179/003258903225008625 ◽

2003 ◽

Vol 46 (4) ◽

pp. 329-334 ◽

Author(s):

P. Luukkonen ◽

T. Ericsson

Keyword(s):

Direct Current ◽

Potential Drop ◽

Drop Method ◽

Cold Pressed ◽

Direct Current Potential Drop ◽

Current Potential

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Four-point probe measurements of a direct current potential drop on layered conductive cylinders

Measurement Science and Technology ◽

10.1088/0957-0233/23/11/115603 ◽

2012 ◽

Vol 23 (11) ◽

pp. 115603 ◽

Author(s):

Yi Lu ◽

John R Bowler

Keyword(s):

Direct Current ◽

Potential Drop ◽

Probe Measurements ◽

Direct Current Potential Drop ◽

Current Potential

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A machine learning approach for maximizing direct current power of nonlinear energy harvesting systems subjected to periodic impulse excitation

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2021.108262 ◽

2022 ◽

Vol 164 ◽

pp. 108262

Author(s):

Wen Cai ◽

Ryan L. Harne

Keyword(s):

Machine Learning ◽

Energy Harvesting ◽

Direct Current ◽

Learning Approach ◽

Machine Learning Approach ◽

Impulse Excitation ◽

Harvesting Systems ◽

Periodic Impulse ◽

Nonlinear Energy

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Assessment of local conductivity distribution in stress corrosion crack region using direct current potential drop method

Corrosion Science ◽

10.1016/j.corsci.2017.01.019 ◽

2017 ◽

Vol 123 ◽

pp. 197-208 ◽

Author(s):

Wenlu Cai ◽

Shejuan Xie ◽

Cherdpong Jomdecha ◽

Xiaojuan Wang ◽

Cuixiang Pei ◽

...

Keyword(s):

Stress Corrosion ◽

Stress Corrosion Crack ◽

Direct Current ◽

Potential Drop ◽

Conductivity Distribution ◽

Drop Method ◽

Local Conductivity ◽

Direct Current Potential Drop ◽

Current Potential

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