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Proceedings Papers

Enhancing Nuclear Power Plant Operational Forecasting With Transformer Neural Networks: a Time-Series Data Approach

Yanjie Tuo, Xiaojing Liu
Proc. ASME. ICONE31, Volume 1: Nuclear Plant Operation and Maintenance, Engineering and Modification, Operation Life Extension (OLE), and Life Cycle, V001T01A037, August 4–8, 2024
Publisher: American Society of Mechanical Engineers
Paper No: ICONE31-135879
https://doi.org/10.1115/ICONE31-135879
View Paper titled, Enhancing Nuclear Power Plant Operational Forecasting With Transformer Neural Networks: a Time-Series Data Approach
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Topics: Artificial neural networks, Nuclear power stations, Time series
Proceedings Papers

Comparative Study of Cluster Analysis Methods in Dynamic Safety Analysis of Nuclear Power Plants

Mohamedelmogtabh Omer Elfadni Suliman, He Wang, Binfu Xiong
Proc. ASME. ICONE31, Volume 5: Nuclear Safety, Security, and Cyber Security; Nuclear Codes, Standards, Licensing, and Regulatory Issues, V005T05A027, August 4–8, 2024
Publisher: American Society of Mechanical Engineers
Paper No: ICONE31-135943
https://doi.org/10.1115/ICONE31-135943
View Paper titled, Comparative Study of Cluster Analysis Methods in Dynamic Safety Analysis of Nuclear Power Plants
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Topics: Dynamic time warping, Nuclear power stations, Safety, Accidents, Time series, Algorithms, Boilers, Rupture
Proceedings Papers

Research on Accident Prediction of Nuclear Power Plants Based on Deep Learning

Wei Lv, Tong Li, Bo Wang, Sichao Tan, Jiangkuan Li, Ruifeng Tian
Proc. ASME. ICONE31, Volume 6: Thermal-Hydraulics and Safety Analysis, V006T07A041, August 4–8, 2024
Publisher: American Society of Mechanical Engineers
Paper No: ICONE31-134779
https://doi.org/10.1115/ICONE31-134779
View Paper titled, Research on Accident Prediction of Nuclear Power Plants Based on Deep Learning
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Topics: Accidents, Deep learning, Nuclear power stations, Errors, Loss of coolant accidents, Pressure, Safety, Time series, Water
Proceedings Papers

Time Series Analysis With Combined Learning Approach for Anomaly Detection in Nuclear Power Plants

Feiyan Dong, Shi Chen, Kazuyuki Demachi, Masanori Yoshikawa, Akiyuki Seki, Shigeru Takaya
Proc. ASME. ICONE31, Volume 11: Student Paper Competition, V011T15A032, August 4–8, 2024
Publisher: American Society of Mechanical Engineers
Paper No: ICONE31-134602
https://doi.org/10.1115/ICONE31-134602
View Paper titled, Time Series Analysis With Combined Learning Approach for Anomaly Detection in Nuclear Power Plants
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Topics: Nuclear power stations, Safety, Time series
Proceedings Papers

Anomaly Detection of Thermal System Using CAE-DDQN Model

Tong Li, Jiahao Cheng, Bo Wang, Sichao Tan, Ruifeng Tian
Proc. ASME. ICONE31, Volume 11: Student Paper Competition, V011T15A040, August 4–8, 2024
Publisher: American Society of Mechanical Engineers
Paper No: ICONE31-134870
https://doi.org/10.1115/ICONE31-134870
View Paper titled, Anomaly Detection of Thermal System Using CAE-DDQN Model
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Topics: Computer-aided engineering, Deep reinforcement learning, Thermal systems, Time series, Safety, Thermal engineering, Machine learning, Neural network models, Nuclear power, Accidents
Proceedings Papers

Surrogate Modeling Advancements in Nuclear Fuel Engineering: Bridging the Gap Between Accuracy and Efficiency

Salvatore Angelo Cancemi, Michela Angelucci, Rosa Lo Frano, Sandro Paci
Proc. ASME. ICONE31, Volume 11: Student Paper Competition, V011T15A070, August 4–8, 2024
Publisher: American Society of Mechanical Engineers
Paper No: ICONE31-135798
https://doi.org/10.1115/ICONE31-135798
View Paper titled, Surrogate Modeling Advancements in Nuclear Fuel Engineering: Bridging the Gap Between Accuracy and Efficiency
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Topics: Metamodeling, Nuclear fuels, Artificial neural networks, Cladding systems (Building), Simulation, Temperature, Algorithms, Safety, Computer simulation, Design
Proceedings Papers

LES of Twin High-Re Rectangular Jets for Benchmarking Model Order Reduction Methods

John Acierno, Elia Merzari, Victor Petrov, Annalisa Manera
Proc. ASME. ICONE31, Volume 11: Student Paper Competition, V011T15A080, August 4–8, 2024
Publisher: American Society of Mechanical Engineers
Paper No: ICONE31-136284
https://doi.org/10.1115/ICONE31-136284
View Paper titled, LES of Twin High-Re Rectangular Jets for Benchmarking Model Order Reduction Methods
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Topics: Jets, Flow (Dynamics), Time series, Turbulence, Cavities, Computer simulation, Coolants, Cooling systems, Density, Dynamics (Mechanics)
Proceedings Papers

Prediction of Sensor Data Accuracy in Thermal Experimental Benches Using GRU-GCN Neural Network Model

Linjun Yang, Tong Li, Yongchao Liu, Bo Wang, Jiangkuan Li, Jiming Wen, Sichao Tan, Ruifeng Tian
Proc. ASME. ICONE31, Volume 6: Thermal-Hydraulics and Safety Analysis, V006T07A049, August 4–8, 2024
Publisher: American Society of Mechanical Engineers
Paper No: ICONE31-134843
https://doi.org/10.1115/ICONE31-134843
View Paper titled, Prediction of Sensor Data Accuracy in Thermal Experimental Benches Using GRU-GCN Neural Network Model
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Topics: Complex systems, Cycles, Deep learning, Energy efficiency, Neural network models, Nuclear power stations, Safety, Sensors, Time series
Proceedings Papers

Research on a Circuit Health Assessment Technology Combining Mechanism Knowledge and Data Driven Technology

Guilian Shi, Huang Xiaojin, Mo Changyu
Proc. ASME. ICONE29, Volume 1: Nuclear Plant Operation and Maintenance, Engineering and Modification, Operation Life Extension (OLE), and Life Cycle, V001T01A007, August 8–12, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICONE29-89387
https://doi.org/10.1115/ICONE29-89387
View Paper titled, Research on a Circuit Health Assessment Technology Combining Mechanism Knowledge and Data Driven Technology
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Topics: Circuits, Failure, Physics, Electronic equipment, Hardware, Design, Failure mechanisms, Nuclear power, Nuclear power stations, Time series
Proceedings Papers

A Weakly Supervised Time Series Analysis Framework for Anomaly Detection in Nuclear Power Plants

Feiyan Dong, Shi Chen, Kazuyuki Demachi, Masanori Yoshikawa, Akiyuki Seki, Shigeru Takaya
Proc. ASME. ICONE29, Volume 15: Student Paper Competition, V015T16A050, August 8–12, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICONE29-91609
https://doi.org/10.1115/ICONE29-91609
View Paper titled, A Weakly Supervised Time Series Analysis Framework for Anomaly Detection in Nuclear Power Plants
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Topics: Condition monitoring, Nuclear power stations, Time series
Proceedings Papers

A Statistical Approach to Quantify Taylor Microscale for Turbulent Flow Surrogate Model

Molly Ross, John Matulis, Hitesh Bindra
Proc. ASME. ICONE29, Volume 15: Student Paper Competition, V015T16A045, August 8–12, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICONE29-91452
https://doi.org/10.1115/ICONE29-91452
View Paper titled, A Statistical Approach to Quantify Taylor Microscale for Turbulent Flow Surrogate Model
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Topics: Microscale devices, Turbulence, Dynamics (Mechanics), Diffusion (Physics), Fluid mechanics, Time series, Channel flow, Density, Equilibrium (Physics), Fluctuations (Physics)
Proceedings Papers

Time Series Clustering and Classification for Uncertainty Analysis by MAAP5 Code

Ikuo Kinoshita
Proc. ASME. ICONE2020, Volume 1: Beyond Design Basis; Codes and Standards; Computational Fluid Dynamics (CFD); Decontamination and Decommissioning; Nuclear Fuel and Engineering; Nuclear Plant Engineering, V001T01A009, August 4–5, 2020
Publisher: American Society of Mechanical Engineers
Paper No: ICONE2020-16437
https://doi.org/10.1115/ICONE2020-16437
View Paper titled, Time Series Clustering and Classification for Uncertainty Analysis by MAAP5 Code
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Topics: Time series, Uncertainty analysis, Uncertainty, Hydrogen, Errors, Regression models, Algorithms, Damage, Fuels
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
Publisher: American Society of Mechanical Engineers
Paper No: ICONE2020-16380
https://doi.org/10.1115/ICONE2020-16380
View Paper titled, Weakly Supervised Deep Neural Network for Bearing Fault Diagnosis
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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
Proc. ASME. ICONE2020, Volume 2: Nuclear Policy; Nuclear Safety, Security, and Cyber Security; Operating Plant Experience; Probabilistic Risk Assessments; SMR and Advanced Reactors, V002T09A002, August 4–5, 2020
Publisher: American Society of Mechanical Engineers
Paper No: ICONE2020-16150
https://doi.org/10.1115/ICONE2020-16150
View Paper titled, 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
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Topics: Boiling water reactors, Machine learning, Noise (Sound), Nuclear power stations, Temperature, Time series, Transients (Dynamics)
Proceedings Papers

Study on Breakdown Features and Characteristics of Film at the Corrugated Plate Corner

Bo Wang, Bowen Chen, Bingzheng Ke, Ru Li, Gongqing Wang, Ruifeng Tian, Chuan Lu
Proc. ASME. ICONE2020, Volume 3: Student Paper Competition; Thermal-Hydraulics; Verification and Validation, V003T13A002, August 4–5, 2020
Publisher: American Society of Mechanical Engineers
Paper No: ICONE2020-16005
https://doi.org/10.1115/ICONE2020-16005
View Paper titled, Study on Breakdown Features and Characteristics of Film at the Corrugated Plate Corner
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Topics: Corners (Structural elements), Film thickness, Separation (Technology), Steam, Water, Air flow, Flow (Dynamics), Liquid films, Reynolds number, Boilers
Proceedings Papers

Seismic Time History Data Precision and Time Interval Requirement

Dali Li
Proc. ASME. ICONE2020, Volume 1: Beyond Design Basis; Codes and Standards; Computational Fluid Dynamics (CFD); Decontamination and Decommissioning; Nuclear Fuel and Engineering; Nuclear Plant Engineering, V001T02A002, August 4–5, 2020
Publisher: American Society of Mechanical Engineers
Paper No: ICONE2020-16594
https://doi.org/10.1115/ICONE2020-16594
View Paper titled, Seismic Time History Data Precision and Time Interval Requirement
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Topics: Acceptance criteria, Design, Dynamic analysis, Earthquake resistant design, Spectra (Spectroscopy), Spectral energy distribution, Time series
Proceedings Papers

Incorporation of the Radioactive Interinfluence in Multi-Unit Seismic PRA

Shuhei Matsunaka, Chikahiro Sato, Manabu Watanabe
Proc. ASME. ICONE26, Volume 2: Plant Systems, Structures, Components, and Materials; Risk Assessments and Management, V002T14A014, July 22–26, 2018
Publisher: American Society of Mechanical Engineers
Paper No: ICONE26-81928
https://doi.org/10.1115/ICONE26-81928
View Paper titled, Incorporation of the Radioactive Interinfluence in Multi-Unit Seismic PRA
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Topics: Accident management, Accidents, Containment, Containment vessels, Damage, Earthquakes, Evaluation methods, Fukushima nuclear disaster, Japan, 2011, Hazards, Nuclear power stations
Proceedings Papers

The Safety Analysis of Multiple Method Fusion on Reactor Scram Subsystem

Hua Liu, Zhaohui Liu, Xiaohua Yang, Shiyu Yan, Zhi Chen
Proc. ASME. ICONE26, Volume 6B: Thermal-Hydraulics and Safety Analyses, V06BT08A059, July 22–26, 2018
Publisher: American Society of Mechanical Engineers
Paper No: ICONE26-82453
https://doi.org/10.1115/ICONE26-82453
View Paper titled, The Safety Analysis of Multiple Method Fusion on Reactor Scram Subsystem
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Topics: Safety, Scram, Failure mode and effects analysis, Failure, Computer software, Design, Hardware, Accidents, Chain, Complex systems
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
Publisher: American Society of Mechanical Engineers
Paper No: ICONE26-81643
https://doi.org/10.1115/ICONE26-81643
View Paper titled, Development of Malicious Hand Behaviors Detection Method by Movie Analysis
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Topics: Accidents, Algorithms, Artificial neural networks, Countermeasures, Delays, Design, Fukushima nuclear disaster, Japan, 2011, Machine learning, Maintenance, Matlab
Proceedings Papers

Development of Prediction Technology of Two-Phase Flow Dynamics Under Earthquake Acceleration: (14) Numerical Simulation of Two-Phase Flow in Subchannels Under Accelerating Condition

Hiroyuki Yoshida, Taku Nagatake, Kazuyuki Takase, Akiko Kaneko, Hideaki Monji, Yutaka Abe
Proc. ASME. ICONE22, Volume 2A: Thermal Hydraulics, V02AT09A014, July 7–11, 2014
Publisher: American Society of Mechanical Engineers
Paper No: ICONE22-30153
https://doi.org/10.1115/ICONE22-30153
View Paper titled, Development of Prediction Technology of Two-Phase Flow Dynamics Under Earthquake Acceleration: (14) Numerical Simulation of Two-Phase Flow in Subchannels Under Accelerating Condition
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Topics: Computer simulation, Dynamics (Mechanics), Earthquakes, Two-phase flow, Porosity, Bubbly flow, Bubbles, Safety, Nuclear reactors, Oscillations