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Proceedings Papers

Intelligent Fault Diagnosis of Rotating Machinery Based on Deep Neural Network

Xiuchun Zhang, Hong Xia, Yongkang Liu, Shaomin Zhu, Yingying Jiang, Jiyu Zhang, Jie Liu, Wenzhe Yin
Proc. ASME. ICONE31, Volume 1: Nuclear Plant Operation and Maintenance, Engineering and Modification, Operation Life Extension (OLE), and Life Cycle, V001T01A034, August 4–8, 2024
Publisher: American Society of Mechanical Engineers
Paper No: ICONE31-135724
https://doi.org/10.1115/ICONE31-135724
View Paper titled, Intelligent Fault Diagnosis of Rotating Machinery Based on Deep Neural Network
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Topics: Artificial neural networks, Fault diagnosis, Fourier transforms, Machinery, Nuclear power stations
Proceedings Papers

Research on Interpretability Techniques in Two Widely Used Neural Network for Nuclear Power Plant Fault Diagnosis

Jie Liu, Rafael Macián-Juan
Proc. ASME. ICONE31, Volume 1: Nuclear Plant Operation and Maintenance, Engineering and Modification, Operation Life Extension (OLE), and Life Cycle, V001T01A017, August 4–8, 2024
Publisher: American Society of Mechanical Engineers
Paper No: ICONE31-134882
https://doi.org/10.1115/ICONE31-134882
View Paper titled, Research on Interpretability Techniques in Two Widely Used Neural Network for Nuclear Power Plant Fault Diagnosis
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Topics: Artificial neural networks, Fault diagnosis, Machine learning, Nuclear power stations
Proceedings Papers

Research on the Architecture of Unity3D-Based Rotating Equipment Fault Diagnosis System for Nuclear Power Plants

Zhujun Jia, Hong Xia, Wenzhe Yin, Yingying Jiang
Proc. ASME. ICONE31, Volume 1: Nuclear Plant Operation and Maintenance, Engineering and Modification, Operation Life Extension (OLE), and Life Cycle, V001T01A033, August 4–8, 2024
Publisher: American Society of Mechanical Engineers
Paper No: ICONE31-135447
https://doi.org/10.1115/ICONE31-135447
View Paper titled, Research on the Architecture of Unity3D-Based Rotating Equipment Fault Diagnosis System for Nuclear Power Plants
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Topics: Digital twin, Fault diagnosis, Nuclear power stations
Proceedings Papers

Research on Measurement and Analysis Method of Radiation Test Section Based on Neural Network

Jinlin Lee, Yunsheng Zhang, Jie Cheng, Guangming Fan, Shuai Jin
Proc. ASME. ICONE31, Volume 3: I&C, Digital Control, and Influence of Human Factors, V003T03A010, August 4–8, 2024
Publisher: American Society of Mechanical Engineers
Paper No: ICONE31-134913
https://doi.org/10.1115/ICONE31-134913
View Paper titled, Research on Measurement and Analysis Method of Radiation Test Section Based on Neural Network
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Topics: Artificial neural networks, Fault diagnosis, Irradiation (Radiation exposure), Radiation (Physics)
Proceedings Papers

Optimal Sensor Placement in Nuclear Power Steam Water System Based on Signed Directed Graph

Tianyang Xing, Chunyang Zeng, Bin Han, Mudi Jiang, Yunze He, Shenghui Liu, Junling Huang, Xiaoliang Zhu
Proc. ASME. ICONE31, Volume 3: I&C, Digital Control, and Influence of Human Factors, V003T03A019, August 4–8, 2024
Publisher: American Society of Mechanical Engineers
Paper No: ICONE31-135960
https://doi.org/10.1115/ICONE31-135960
View Paper titled, Optimal Sensor Placement in Nuclear Power Steam Water System Based on Signed Directed Graph
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Topics: Nuclear power, Nuclear power stations, Pareto optimization, Sensor placement, Steam, Water, Sensors, Flaw detection, Reliability, Computer simulation
Proceedings Papers

Typical Fault Diagnosis Model of Nuclear Power Plant Combined With Knowledge Driven and Data Driven

Xin Wang, Minjun Peng, Hang Wang, Zikang Li
Proc. ASME. ICONE31, Volume 10: Risk Assessments and Management; Computer Code Verification and Validation; Nuclear Education and Public Acceptance, V010T12A008, August 4–8, 2024
Publisher: American Society of Mechanical Engineers
Paper No: ICONE31-134815
https://doi.org/10.1115/ICONE31-134815
View Paper titled, Typical Fault Diagnosis Model of Nuclear Power Plant Combined With Knowledge Driven and Data Driven
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Topics: Fault diagnosis, Nuclear power stations
Proceedings Papers

Developing Intelligent Equipment Monitoring System of Nuclear Power Plants to Improve Plant Performance

Jianming Yu, Yibiao Cai
Proc. ASME. ICONE29, Volume 1: Nuclear Plant Operation and Maintenance, Engineering and Modification, Operation Life Extension (OLE), and Life Cycle, V001T01A022, August 8–12, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICONE29-91638
https://doi.org/10.1115/ICONE29-91638
View Paper titled, Developing Intelligent Equipment Monitoring System of Nuclear Power Plants to Improve Plant Performance
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Topics: Condition monitoring, Fault diagnosis, Maintenance, Monitoring systems, Nuclear power stations, Pattern recognition, Economics , Safety, Carbon, Construction
Proceedings Papers

Stable Feature Reweighting Transformer for Out-Of-Distribution Bearing Fault Diagnosis

Hao Chen, Jie Nie, Shusong Yu, Chenglong Wang, Peizhe Yin, Kun Yang
Proc. ASME. ICONE29, Volume 1: Nuclear Plant Operation and Maintenance, Engineering and Modification, Operation Life Extension (OLE), and Life Cycle, V001T01A055, August 8–12, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICONE29-92830
https://doi.org/10.1115/ICONE29-92830
View Paper titled, Stable Feature Reweighting Transformer for Out-Of-Distribution Bearing Fault Diagnosis
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Topics: Bearings, Fault diagnosis, Manufacturing, Aerospace industry, Nuclear engineering, Rolling bearings, Signals
Proceedings Papers

Fault Diagnosis of CRDM Based on EEMD-Wavelet Threshold Denoising and WOA-KELM

Luo Jingdong, Chen Ling, Zhang Liming
Proc. ASME. ICONE29, Volume 1: Nuclear Plant Operation and Maintenance, Engineering and Modification, Operation Life Extension (OLE), and Life Cycle, V001T01A026, August 8–12, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICONE29-91936
https://doi.org/10.1115/ICONE29-91936
View Paper titled, Fault Diagnosis of CRDM Based on EEMD-Wavelet Threshold Denoising and WOA-KELM
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Topics: Fault diagnosis, Wavelets
Proceedings Papers

Research on GIL Fault Diagnosis and Location Method Based on Partial Discharge and Vibration Monitoring

Sen Liu
Proc. ASME. ICONE29, Volume 12: Innovative and Smart Nuclear Power Plant Design, V012T12A020, August 8–12, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICONE29-92174
https://doi.org/10.1115/ICONE29-92174
View Paper titled, Research on GIL Fault Diagnosis and Location Method Based on Partial Discharge and Vibration Monitoring
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Topics: Fault diagnosis, Vibration, Signals, Metals, Transmission lines, Eigenvalues, Sensors, Simulation, Economics , Fault location (Engineering)
Proceedings Papers

Research on Generalization of Typical Data-Driven Fault Diagnosis Methods for Nuclear Power Plants

Jiangkuan Li, Meng Lin
Proc. ASME. ICONE29, Volume 15: Student Paper Competition, V015T16A007, August 8–12, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICONE29-88934
https://doi.org/10.1115/ICONE29-88934
View Paper titled, Research on Generalization of Typical Data-Driven Fault Diagnosis Methods for Nuclear Power Plants
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Topics: Fault diagnosis, Nuclear power stations
Proceedings Papers

Modeling and Fault Diagnosis of Pressurizer Based on Bond Graph

Zhuoran Zhou, Minjun Peng, Hang Wang, Yingying Jiang
Proc. ASME. ICONE29, Volume 15: Student Paper Competition, V015T16A108, August 8–12, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICONE29-93053
https://doi.org/10.1115/ICONE29-93053
View Paper titled, Modeling and Fault Diagnosis of Pressurizer Based on Bond Graph
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Topics: Expert systems, Fault diagnosis, Modeling, Valves, Computer simulation, Failure, Flow (Dynamics), Nuclear power stations, Pressure, Safety
Proceedings Papers

Fault Diagnosis Based on KPCA and RUSboost for Nuclear Power Plants

Yiqing Wang, Peiwei Sun
Proc. ASME. ICONE29, Volume 15: Student Paper Competition, V015T16A082, August 8–12, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICONE29-92163
https://doi.org/10.1115/ICONE29-92163
View Paper titled, Fault Diagnosis Based on KPCA and RUSboost for Nuclear Power Plants
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Topics: Fault diagnosis, Nuclear power stations, Algorithms, Sensors, Nonlinear systems, Nuclear reactors, Pressurized water reactors, Process monitoring, Support vector machines
Proceedings Papers

Robustness Analysis and Improvement of Fault Diagnosis Model for Nuclear Power Plants Based on Random Forest

Jiangkuan Li, Meng Lin
Proc. ASME. ICONE28, Volume 4: Student Paper Competition, V004T14A022, August 4–6, 2021
Publisher: American Society of Mechanical Engineers
Paper No: ICONE28-64109
https://doi.org/10.1115/ICONE28-64109
View Paper titled, Robustness Analysis and Improvement of Fault Diagnosis Model for Nuclear Power Plants Based on Random Forest
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Topics: Fault diagnosis, Noise (Sound), Nuclear power stations, Robustness
Proceedings Papers

A Fault Diagnosis Method Based on Signed Directed Graph and Correlation Analysis for Nuclear Power Plants

Chongchong Liu, Guohua Wu, Congsong Yang, Yunwen Li, Qian Wu
Proc. ASME. ICONE2020, Volume 2: Nuclear Policy; Nuclear Safety, Security, and Cyber Security; Operating Plant Experience; Probabilistic Risk Assessments; SMR and Advanced Reactors, V002T08A009, August 4–5, 2020
Publisher: American Society of Mechanical Engineers
Paper No: ICONE2020-16120
https://doi.org/10.1115/ICONE2020-16120
View Paper titled, A Fault Diagnosis Method Based on Signed Directed Graph and Correlation Analysis for Nuclear Power Plants
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Topics: Expert systems, Fault diagnosis, Nuclear power stations
Proceedings Papers

Artificial Neural Networks in Condition Monitoring and Fault Diagnosis of Nuclear Power Plants: A Concise Review

B. T. Jiang, J. Zhou, X. B. Huang
Proc. ASME. ICONE2020, Volume 2: Nuclear Policy; Nuclear Safety, Security, and Cyber Security; Operating Plant Experience; Probabilistic Risk Assessments; SMR and Advanced Reactors, V002T08A032, August 4–5, 2020
Publisher: American Society of Mechanical Engineers
Paper No: ICONE2020-16334
https://doi.org/10.1115/ICONE2020-16334
View Paper titled, Artificial Neural Networks in Condition Monitoring and Fault Diagnosis of Nuclear Power Plants: A Concise Review
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Topics: Artificial neural networks, Condition monitoring, Fault diagnosis, Nuclear power stations, Artificial intelligence
Proceedings Papers

Reliability Assessment of NPP System for Risk Management Based on an Information Reasoning Methodology

Guixia Zhu, Tianmi Zhou, Yugang Qian, Chongchong Liu, Hongxing Lu
Proc. ASME. ICONE2020, Volume 2: Nuclear Policy; Nuclear Safety, Security, and Cyber Security; Operating Plant Experience; Probabilistic Risk Assessments; SMR and Advanced Reactors, V002T08A042, August 4–5, 2020
Publisher: American Society of Mechanical Engineers
Paper No: ICONE2020-16482
https://doi.org/10.1115/ICONE2020-16482
View Paper titled, Reliability Assessment of NPP System for Risk Management Based on an Information Reasoning Methodology
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Topics: Nuclear power stations, Reliability, Risk management, Fault diagnosis, Failure mechanisms, Modeling, Probability, Risk, Safety, System failures
Proceedings Papers

Research on Fault Diagnosis Based on Hierarchical Signed Directed Graph for Nuclear Power Plants

Wu Guohua, Wang Jiaxin, Yuan Diping, Xiao Yiqing
Proc. ASME. ICONE2020, Volume 2: Nuclear Policy; Nuclear Safety, Security, and Cyber Security; Operating Plant Experience; Probabilistic Risk Assessments; SMR and Advanced Reactors, V002T08A024, August 4–5, 2020
Publisher: American Society of Mechanical Engineers
Paper No: ICONE2020-16192
https://doi.org/10.1115/ICONE2020-16192
View Paper titled, Research on Fault Diagnosis Based on Hierarchical Signed Directed Graph for Nuclear Power Plants
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Topics: Fault diagnosis, Flaw detection, Nuclear power stations
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

Convolutional Neural Network Considering the Effects of Noise for Bearing Fault Diagnosis

Ilyoung Han, Jangbom Chai, Chanwoo Lim, Taeyun Kim
Proc. ASME. ICONE2020, Volume 2: Nuclear Policy; Nuclear Safety, Security, and Cyber Security; Operating Plant Experience; Probabilistic Risk Assessments; SMR and Advanced Reactors, V002T09A010, August 4–5, 2020
Publisher: American Society of Mechanical Engineers
Paper No: ICONE2020-16861
https://doi.org/10.1115/ICONE2020-16861
View Paper titled, Convolutional Neural Network Considering the Effects of Noise for Bearing Fault Diagnosis
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Topics: Artificial neural networks, Bearings, Fault diagnosis, Noise (Sound), Signals