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Proceedings Papers

Strategies and Applications of Big Data and AI Technologies in Nuclear Power Public Opinion Prevention and Control System

Proc. ASME. ICONE29, Volume 14: Computer Code Verification and Validation; Nuclear Education and Public Acceptance, V014T15A013, August 8–12, 2022

Paper No: ICONE29-93779

DOI: https://doi.org/10.1115/ICONE29-93779

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Topics: Control systems, Nuclear power, Carbon, Carbon neutrality, Simulation, China, Climate change, Construction, Emissions, Feedback

Proceedings Papers

Anomalies Detection in Structures, System and Components for Supporting Nuclear Long Term Operation Program

Salvatore Angelo Cancemi, Rosa Lo Frano

Proc. ASME. ICONE29, Volume 15: Student Paper Competition, V015T16A110, August 8–12, 2022

Paper No: ICONE29-93193

DOI: https://doi.org/10.1115/ICONE29-93193

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Topics: Algorithms, Digital twin, Failure, Finite element analysis, Machine learning, Maintenance, Nuclear power stations, Nuclear reactors, Pipes, Pressure

Proceedings Papers

Multiplication Factor Prediction Feasibility Study for the BEAVRS Core Based on the LSTM Algorithm

Ren Chang-an, Lei Ji-chong, Yang Xiao-hua

Proc. ASME. ICONE29, Volume 1: Nuclear Plant Operation and Maintenance, Engineering and Modification, Operation Life Extension (OLE), and Life Cycle, V001T01A011, August 8–12, 2022

Paper No: ICONE29-90164

DOI: https://doi.org/10.1115/ICONE29-90164

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Topics: Algorithms, Cycles, Engineering simulation, Errors, Machine learning, Simulation

Proceedings Papers

Research on Intelligent Classification Method of Primary Loop Transient in Nuclear Power Plant

Run Ze Zhang, Zhi Lin Chen, Yong Qiang Huang, Xin Chen

Proc. ASME. ICONE29, Volume 1: Nuclear Plant Operation and Maintenance, Engineering and Modification, Operation Life Extension (OLE), and Life Cycle, V001T01A058, August 8–12, 2022

Paper No: ICONE29-92874

DOI: https://doi.org/10.1115/ICONE29-92874

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Topics: Machine learning, Nuclear power stations, Transients (Dynamics)

Proceedings Papers

Prediction of the Operating Control Rod Position of the HTTR With Supervised Machine Learning

Hai Quan Ho, Satoru Nagasumi, Yosuke Shimazaki, Toshiaki Ishii, Kazuhiko Iigaki, Minoru Goto, Irwan Liapto Simanullang, Nozomu Fujimoto, Etsuo Ishitsuka

Proc. ASME. ICONE29, Volume 2: Nuclear Fuel and Material, Reactor Physics and Transport Theory, and Fuel Cycle Technology, V002T02A025, August 8–12, 2022

Paper No: ICONE29-90826

DOI: https://doi.org/10.1115/ICONE29-90826

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Topics: Machine learning, Safety

Proceedings Papers

Applying Machine Learning to Improve BOA Analysis of CIPS/CILC

Jun Liao, Alexander Mace, Guoqiang Wang, Jesse S. Fisher

Proc. ASME. ICONE29, Volume 2: Nuclear Fuel and Material, Reactor Physics and Transport Theory, and Fuel Cycle Technology, V002T02A095, August 8–12, 2022

Paper No: ICONE29-94480

DOI: https://doi.org/10.1115/ICONE29-94480

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Topics: Machine learning, Boron, Corrosion, Fuels, Nuclear power stations, Algorithms, Calibration, Chemistry, Cladding systems (Building), Computers

Proceedings Papers

Data Driven Methods for Break Size and Location Estimation in LOCA Based on Deep Learning

Peng Yuan, Jian Deng, Zhifang Qiu, Qinglan Xu, Dahuan Zhu, Tao Huang, Zhongchun Li, Peng Du

Proc. ASME. ICONE29, Volume 7B: Thermal-Hydraulics and Safety Analysis, V07BT07A006, August 8–12, 2022

Paper No: ICONE29-92380

DOI: https://doi.org/10.1115/ICONE29-92380

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Topics: Accidents, Algorithms, Artificial neural networks, China, Coolants, Design, Flow (Dynamics), Machine learning, Nuclear power stations, Nuclear reactors

Proceedings Papers

Machine Learning Modelling of Decay Heat Removal in High Temperature Gas-Cooled Reactor

Hao Wu, Liangzhi Yu, Fenglei Niu, Jiyuan Tu, Shengyao Jiang

Proc. ASME. ICONE29, Volume 7B: Thermal-Hydraulics and Safety Analysis, V07BT07A019, August 8–12, 2022

Paper No: ICONE29-92695

DOI: https://doi.org/10.1115/ICONE29-92695

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Topics: Heat, Machine learning, Modeling, Very high temperature reactors

Proceedings Papers

Study on the Applicability of a Machine-Learning Framework to Improve Modeling for the Stratification Phenomenon

Takuo Oda, Shimpei Okayasu, Nobuhide Hara, Koichi Tanimoto, Ali Haghiri, Xiaowei Xu, Richard Sandberg

Proc. ASME. ICONE29, Volume 8: Computational Fluid Dynamics (CFD) and Applications, V008T08A026, August 8–12, 2022

Paper No: ICONE29-91829

DOI: https://doi.org/10.1115/ICONE29-91829

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Topics: Computer programming, Machine learning, Modeling, Thermal stratification, Turbulence

Proceedings Papers

The Crown Predictive Model of Cold-Rolled Zirconium Alloy Strip Sheet Based on Machine Learning Algorithm

Yuan Cao, Jianguo Cao, Yingqi Gao, Ben Wang, Pengfei Zhang, Fang Li, Bo Gao

Proc. ASME. ICONE29, Volume 10: Advanced Methods of Manufacturing for Nuclear Reactors and Components, V010T10A026, August 8–12, 2022

Paper No: ICONE29-92252

DOI: https://doi.org/10.1115/ICONE29-92252

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Topics: Algorithms, Cold rolling, Machine learning, Strips, Zirconium alloys

Proceedings Papers

Comparative Machine Learning Study for Estimating Peak Cladding Temperature in AP1000 Under LOFW

Merouane Najar, He Wang

Proc. ASME. ICONE29, Volume 5: Nuclear Safety, Security, and Cyber Security, V005T05A022, August 8–12, 2022

Paper No: ICONE29-91516

DOI: https://doi.org/10.1115/ICONE29-91516

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Topics: Cladding systems (Building), Machine learning, Temperature, Algorithms, Uncertainty quantification, Accidents, Safety, Uncertainty, Databases, Errors

Proceedings Papers

Exploration and Application of Ensemble Learning Method on Predicting Two-Phase Flow Key Parameters of Rectangular Channel

Qingyu Huang, Yang Yu, Hui Zeng, Hui Yang, Siyuan Zhang, Kunlin Yang, Yuanfeng Lin

Proc. ASME. ICONE29, Volume 7A: Thermal-Hydraulics and Safety Analysis, V07AT07A074, August 8–12, 2022

Paper No: ICONE29-92231

DOI: https://doi.org/10.1115/ICONE29-92231

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Topics: Machine learning, Two-phase flow

Proceedings Papers

Machine Learned Metamodeling of a Computationally Intensive Accident Simulation Code

Landon Conner, Clarence L. Worrell, James P. Spring, Jun Liao

Proc. ASME. ICONE28, Volume 1: Operating Plant Challenges, Successes, and Lessons Learned; Nuclear Plant Engineering; Advanced Reactors and Fusion; Small Modular and Micro-Reactors Technologies and Applications, V001T02A035, August 4–6, 2021

Paper No: ICONE28-66619

DOI: https://doi.org/10.1115/ICONE28-66619

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Topics: Accidents, Machinery, Metamodeling, Simulation, Artificial neural networks, Machine learning, Manufacturing, Nuclear industry, Optimization, Safety

Proceedings Papers

Image Based Bubbly Flow Feature Identification Using Deep Learning

Takashi Furuhashi, Takuro Sasaki, Shuichiro Miwa

Proc. ASME. ICONE28, Volume 4: Student Paper Competition, V004T14A024, August 4–6, 2021

Paper No: ICONE28-64155

DOI: https://doi.org/10.1115/ICONE28-64155

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Topics: Bubbly flow, Flow (Dynamics), Two-phase flow, Bubbles, Artificial intelligence, Artificial neural networks, Feature extraction, Fittings, Fluids, Heat transfer

Proceedings Papers

Weakly Supervised Deep Neural Network for Bearing Fault Diagnosis

Daisuke Miki, Kazuyuki Demachi

Proc. ASME. ICONE2020, Volume 2: Nuclear Policy; Nuclear Safety, Security, and Cyber Security; Operating Plant Experience; Probabilistic Risk Assessments; SMR and Advanced Reactors, V002T08A035, August 4–5, 2020

Paper No: ICONE2020-16380

DOI: https://doi.org/10.1115/ICONE2020-16380

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Topics: Artificial neural networks, Bearings, Fault diagnosis, Signals, Time series, Vibration, Failure, Flaw detection, Artificial intelligence, Feature extraction

Proceedings Papers

A New Data Driven Method for Monitoring a Large Number of Process Values and Detecting Anomaly Signs With a Two-Stage Model Composed of a Time Window Autoencoder and a Deviation Autoencoder

Susumu Naito, Yasunori Taguchi, Yuichi Kato, Kouta Nakata, Ryota Miyake, Isaku Nagura, Shinya Tominaga, Toshio Aoki

Paper No: ICONE2020-16150

DOI: https://doi.org/10.1115/ICONE2020-16150

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Topics: Boiling water reactors, Machine learning, Noise (Sound), Nuclear power stations, Temperature, Time series, Transients (Dynamics)

Proceedings Papers

Development of Malicious Hand Behaviors Detection Method by Movie Analysis

Kazuyuki Demachi, Shi Chen

Proc. ASME. ICONE26, Volume 4: Nuclear Safety, Security, and Cyber Security; Computer Code Verification and Validation, V004T06A020, July 22–26, 2018

Paper No: ICONE26-81643

DOI: https://doi.org/10.1115/ICONE26-81643

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Topics: Accidents, Algorithms, Artificial neural networks, Countermeasures, Delays, Design, Fukushima nuclear disaster, Japan, 2011, Machine learning, Maintenance, Matlab

Proceedings Papers

Pump Bearing Fault Detection Based on EMD and SVM

Yi Feng, Xianling Li, Zhiwu Ke, Zhaoxu Chen, Mo Tao

Proc. ASME. ICONE26, Volume 1: Operations and Maintenance, Engineering, Modifications, Life Extension, Life Cycle, and Balance of Plant; Instrumentation and Control (I&C) and Influence of Human Factors; Innovative Nuclear Power Plant Design and SMRs, V001T01A008, July 22–26, 2018

Paper No: ICONE26-81584

DOI: https://doi.org/10.1115/ICONE26-81584

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Topics: Bearings, Flaw detection, Pumps, Support vector machines, Signals, Coolants, Failure, Flow (Dynamics), Fluids, Heat transfer

Proceedings Papers

Two-Phase Flow Regime Identification Using Fluctuating Force Signals Under Machine Learning Techniques

Yuta Saito, Shuhei Torisaki, Shuichiro Miwa

Proc. ASME. ICONE26, Volume 9: Student Paper Competition, V009T16A019, July 22–26, 2018

Paper No: ICONE26-81288

DOI: https://doi.org/10.1115/ICONE26-81288

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Topics: Machine learning, Signals, Two-phase flow, Flow (Dynamics), Artificial neural networks, Support vector machines, Algorithms, Databases, Design, Heat

Proceedings Papers

On the Use of Support Vector Regression Technique for the Analysis of Rod Ejection Accidents

Botao Jiang, Yang Liu, Fuyu Zhao

Proc. ASME. ICONE20-POWER2012, Volume 5: Fusion Engineering; Student Paper Competition; Design Basis and Beyond Design Basis Events; Simple and Combined Cycles, 99-102, July 30–August 3, 2012

Paper No: ICONE20-POWER2012-54266

DOI: https://doi.org/10.1115/ICONE20-POWER2012-54266

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Topics: Accidents, Support vector machines, Artificial neural networks, Pressurized water reactors, Trains, Computers, Design, Machine learning, Nuclear engineering, Power stations

NARROW

Strategies and Applications of Big Data and AI Technologies in Nuclear Power Public Opinion Prevention and Control System

Anomalies Detection in Structures, System and Components for Supporting Nuclear Long Term Operation Program

Multiplication Factor Prediction Feasibility Study for the BEAVRS Core Based on the LSTM Algorithm

Research on Intelligent Classification Method of Primary Loop Transient in Nuclear Power Plant

Prediction of the Operating Control Rod Position of the HTTR With Supervised Machine Learning

Applying Machine Learning to Improve BOA Analysis of CIPS/CILC

Data Driven Methods for Break Size and Location Estimation in LOCA Based on Deep Learning

Machine Learning Modelling of Decay Heat Removal in High Temperature Gas-Cooled Reactor

Study on the Applicability of a Machine-Learning Framework to Improve Modeling for the Stratification Phenomenon

The Crown Predictive Model of Cold-Rolled Zirconium Alloy Strip Sheet Based on Machine Learning Algorithm

Comparative Machine Learning Study for Estimating Peak Cladding Temperature in AP1000 Under LOFW

Exploration and Application of Ensemble Learning Method on Predicting Two-Phase Flow Key Parameters of Rectangular Channel

Machine Learned Metamodeling of a Computationally Intensive Accident Simulation Code

Image Based Bubbly Flow Feature Identification Using Deep Learning

Weakly Supervised Deep Neural Network for Bearing Fault Diagnosis

A New Data Driven Method for Monitoring a Large Number of Process Values and Detecting Anomaly Signs With a Two-Stage Model Composed of a Time Window Autoencoder and a Deviation Autoencoder

Development of Malicious Hand Behaviors Detection Method by Movie Analysis

Pump Bearing Fault Detection Based on EMD and SVM

Two-Phase Flow Regime Identification Using Fluctuating Force Signals Under Machine Learning Techniques

On the Use of Support Vector Regression Technique for the Analysis of Rod Ejection Accidents

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