... process, the fault diagnosis is usually carried out by operators by observing the parameters during operation and combining their own knowledge. The advantage of using neural networks for fault diagnosis lies in their direct and effective statistical analysis and information extraction of massive, multi...

... schemes, the optimized sensor placement scheme exhibits superior performance in terms of cost-effectiveness in arranging sensors, reliability in fault detection, and correlation between faults and sensor points. fault diagnosis signed directed graph multi-objective optimization nuclear power...

... Abstract In order to prevent potential radioactive leaks and maintain personnel safety, fault diagnosis in nuclear power plants is crucial. Knowledge-driven and data-driven approaches are two predominant directions in nuclear power plant fault diagnosis. Knowledge-driven approach relies...

...Proceedings of the 2024 31st International Conference on Nuclear Engineering ICONE31 August 4-8, 2024, Prague, Czech Republic ICONE31-135724 INTELLIGENT FAULT DIAGNOSIS OF ROTATING MACHINERY BASED ON DEEP NEURAL NETWORK Xiuchun Zhang1, 2, 3, 4, Hong Xia1, 2, Yongkang Liu5, Shaomin Zhu1, 2, Yingying...

... Abstract In the domain of nuclear power plant operations, effective and reliable fault diagnosis is crucial for ensuring safety and operation efficiency. However, the black-box properties of machine learning models limit their practical application in the field of nuclear power fault diagnosis...

...Proceedings of the 2024 31st International Conference on Nuclear Engineering ICONE31 August 4-8, 2024, Prague, Czech Republic ICONE31-135447 RESEARCH ON THE ARCHITECTURE OF UNITY3D-BASED ROTATING EQUIPMENT FAULT DIAGNOSIS SYSTEM FOR NUCLEAR POWER PLANTS Jia Zhujun Xia Hong Harbin Engineering...

..., and the eigenvalues are classified based on the SVM method to realize the GIL fault. Which can provide support for engineering practice. GIL fault diagnosis fault location Proceedings of the 2022 29th International Conference on Nuclear Engineering ICONE29 August 8-12, 2022, Virtual, Online ICONE29-92174...

... Abstract With the development of artificial intelligence technology, various achievements have been realized in data-driven nuclear power plant fault diagnosis. Even endowed with high flexibility and practicability, most of the proposed data-driven methods are based on the same assumptions...

... method for nuclear power plant simulation modeling was provided. This was a new attempt to model bond graphs outside the research of mechanic, electronic and hydraulic. nuclear equipment bond graph fault diagnosis expert system Proceedings of the 2022 29th International Conference on Nuclear...

... Abstract CRDM (Control Rod Drive Mechanism) is the key equipment of nuclear reactors. Accurate fault diagnosis can improve the reliability of CRDM equipment and effectively and quickly eliminate related faults, thus ensuring the safety of reactors. However, due to its complex operating...

... shows that RUSboost is an excellent technique to cope with imbalanced data in fault diagnose for nuclear power plants. fault diagnosis imbalance sample nonlinearity under-sampling technique Proceedings of the 2022 29th International Conference on Nuclear Engineering ICONE29 August 8-12, 2022...

... hot standby, fault diagnosis, prime and slave arbitration, switching performance transmitting operator command to controllers. The data service system runs in three kinds of servers, including real-time data communication server, data processing server and history data server. In order to satisfy...

... Abstract With the development of artificial intelligence technology, data-driven methods have become the core of fault diagnosis models in nuclear power plants. Despite the advantages of high flexibility and practicability, data-driven methods may be sensitive to the noise in measurement data...

... timely. nuclear power plants fault diagnosis signed directed graph expert system correlation analysis A FAULT DIAGNOSIS METHOD BASED ON SIGNED DIRECTED GRAPH AND CORRELATION ANALYSIS FOR NUCLEAR POWER PLANTS Chongchong Liua, Guohua Wub, Congsong Yanga, Yunwen Lia, Qian Wua a Institute...

... an important role of the NPPs safety. So, it is great significance of fault diagnosis for RCS in NPP. Although many scholar had carried out research on fault diagnosis of NPPs, different networks may lead to different results in a system. Therefore, this paper chooses a system and uses different neural...

... RESEARCH ON FAULT DIAGNOSIS APPROACH BASED ON THE SIGNED DIRECTED GRAPH MODEL FOR NUCLEAR POWER PLANT Liu zhen Liu yong-kuo Wu xiao-tian Zeng xian Key Discipline Laboratory of Nuclear Safety and Simulation Technology,College of Nuclear Science and Technology, Harbin Engineering University, Harbin...

... 08 04 2011 The technology of real-time fault diagnosis for NPP has great significance to improve the safety and economy of reactor. At present, expert system, artificial neural network (ANN) and support vector machine (SVM) algorithms are most widely used in the field of NPP fault...

... 25 02 2010 Data fusion is a method which suits for complex system fault diagnosis such as nuclear power plants, and is multi-source information processing technology. In this paper, the data fusion information hierarchical thinking used and the nuclear power plants fault diagnosis...