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China Instrument and Control Society (ACCIS), Academic Conference of

作者： Jun Liu Senyu Zhang Maoyuan Wang Zhe Li Haoxuan Jiang Xiaoliang Luo Zhe Ji Guangjun Wen Yongiun Huang School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China School of Automation Engineering University of Electronic Science and Technology of China Chengdu China Glasgow College UESTC University of Electronic Science and Technology of China Chengdu China Academy of Military Science PLA National Innovation Institute of Defense Technology Beijing China School of Mechanical Engineering Shijiazhuang Tiedao University Shijiazhuang China

ISBN: (数字)9798350350326

ISBN: (纸本)9798350350333

A gyroscope is an inertial microsensor based on the Coriolis principle or the Sagnac effect to measure the magnitude and frequency changes of angular velocity. Traditional MEMS gyroscopes are difficult to improve in performance due to susceptibility to electromagnetic interference and electronic noise. This paper introduces a framework resonant gyroscope based on the cavity optomechanical system detection structure, analyzes its basic working mechanism, and conducts angular vibration experimental tests on the gyroscope chip. Experimental results show that under atmospheric pressure, the gyroscope can repeatedly measure angular vibrations as low as 0.15°/s, the corresponding sensitivity is 40 mV/(o/s), and ARW is $6.6^{\mathrm{o}}/\sqrt{h}$ . Under the same order of magnitude of inertial mass, the gyroscope introduced in this paper exhibits significantly better accuracy than traditional MEMS gyroscopes and is not affected by electromagnetic interference.

关键词： Vibrations Micromechanical devices Semiconductor device measurement Sensitivity Atmospheric measurements Electromagnetic interference Vibration measurement Gyroscopes Frequency measurement Velocity measurement

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Simulation of nuclear Reactor Accident Scenarios using Physics-Informed Neural Networks and Transfer-Learning

Simulation of Nuclear Reactor Accident Scenarios using Physi...

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Electronic Information engineering and Computer Science (EIECS), 2021 International Conference on

作者： Yang Yu Yufei Xie Wenlin Wang Guohua Wu Haitao Lan Enbo Lin Ping An Zibin Sun Haichuan Zhang Yixian Wu National Key Laboratory of Parallel and Distributed Computing National University of Defense Technology Changsha China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu China School of Automation Wuhan University of Technology Wuhan China Sino-German College of Intelligent Manufacturing Shenzhen Technology University Shenzhen China Institute of Automotive Engineers Hubei University of Automotive Technology Shiyan China Nuclear Power Institute of China Chengdu China

ISBN: (数字)9798331531409

ISBN: (纸本)9798331531416

In a Loss of Coolant Accident (LOCA), reactor core temperatures can rise rapidly, leading to potential fuel damage and radioactive material release. This research presents a groundbreaking method that combines the power of Monte Carlo Sampling and Physics-Informed Neural Networks (PINNs) to simulate and effectively address the challenging Loss of Coolant Accidents (LOCA) in nuclear reactors. In the event of a LOCA, reactor core temperatures can soar rapidly, posing a significant threat to fuel integrity and potentially leading to the release of radioactive materials. By leveraging the strengths of both Monte Carlo Sampling and PINNs, this approach aims to provide a comprehensive and accurate simulation framework for assessing and mitigating the consequences of such accidents. The method yields high prediction accuracy (MAE: 0.033, RMSE: 0.098, R2: 0.814) and demonstrates robustness through transfer learning, maintaining strong performance (MAE: 0.064, RMSE: 0.163, R 2 : 0.735).

关键词： Radioactive materials Accuracy Monte Carlo methods Transfer learning Neural networks Robustness Data models Fuels Inductors Accidents

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The Influence of Suspension and Deposition on Pool Boiling Heat Transfer of Nanofluids: Experiment and engineering Model Study

SSRN

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SSRN 2024年

作者： Peng, Cheng Song, Youya Deng, Jian Wu, Jiang Chen, Helin Liu, Fang College of Energy and Mechanical Engineering Shanghai University of Electric Power Shanghai China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu China

Applications including heat exchangers, high power electronic components, and nuclear reactors now require heat transfer technologies that can achieve both high efficiency and compact footprints. Because nanofluids have advantageous heat transfer properties, they have a greater potential to replace conventional coolants. However, predicting nanofluid boiling heat transfer is still difficult. In order to compare the coupled effects of suspended and deposited nanoparticles with the single effect of deposited nanoparticles, the researchers conducted boiling heat transfer experiments. The findings demonstrated that suspended nanoparticles made the surface less wettable, while the deposited nanoparticles increased the wettability. The number of active nucleate sites and the frequency of bubble detachment increase due to the suspension and deposition of nanoparticles, whereas the diameter of the bubble decreases. Based on the experimental data, predictive models for boiling heat transfer and bubble behavior were proposed, with a range of mass concentrations from 0.001% to 0.005% and heat flux between 60 and 130 kW/m2. Less than 30% was found to be the error margin between the experimental data and the predictive equations. It was discovered that the influence of deposited nanoparticles on boiling heat transfer was usually dominant, according to the predictions made by the proposed theoretical models. © 2024, The Authors. All rights reserved.

关键词： Deposition

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Estimation of Gaussian overlapping nuclear pulse parameters based on a deep learning LSTM model

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nuclear Science and Techniques 2019年第11期30卷 83-94页

作者： Xing-Ke Ma Hong-Quan Huang Qian-Cheng Wang Jing Zhao Fei Yang Kai-Ming Jiang Wei-Cheng Ding Wei Zhou College of Nuclear Technology and Automation Engineering Chengdu University of Technology

A long short-term memory(LSTM)neural network has excellent learning ability applicable to time series of nuclear pulse *** can accurately estimate parameters associated with amplitude,time,and so on,in digitally shaped nuclear pulse signals—especially signals from overlapping *** learning the mapping relationship between Gaussian overlapping pulses after digital shaping and exponential pulses before shaping,the shaping parameters of the overlapping exponential nuclear pulses can be estimated using the LSTM ***,the Gaussian overlapping nuclear pulse(ONP)parameters which need to be estimated received Gaussian digital shaping treatment,after superposition by multiple exponential nuclear ***,a dataset containing multiple samples was produced,each containing a sequence of sample values from Gaussian ONP,after digital shaping,and a set of shaping parameters from exponential pulses before digital ***,the Training Set in the dataset was used to train the LSTM *** these datasets,the values sampled from the Gaussian ONP were used as the input data for the LSTM model,and the pulse parameters estimated by the current LSTM model were calculated by forward ***,the loss function was used to calculate the loss value between the network-estimated pulse parameters and the actual pulse ***,a gradient-based optimization algorithm was applied,to feedback the loss value and the gradient of the loss function to the neural network,to update the weight of the LSTM model,thereby achieving the purpose of training the ***,the sampled value of the Gaussian ONP for which the shaping parameters needed to be estimated was used as the input data for the LSTM *** this,the LSTM model produced the required nuclear pulse parameter *** summary,experimental results showed that the proposed method overcame the defect of local convergence encountered in traditional methods and could accurately extract para

关键词： nuclear pulses S–K digital shaping Deep learning LSTM

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The optimal design of cavity optomechanical micro-hemispherical gyroscope

The optimal design of cavity optomechanical micro-hemispheri...

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IEEE International Conference on Electronic Information and Communication technology (ICEICT)

作者： Maoyuan Wang Senyu Zhang Jun Liu Zhe Li Haoxuan Jiang Xiaoliang Luo Zhe Ji Guangjun Wen Yongjun Huang School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China School of Automation Engineering University of Electronic Science and Technology of China Chengdu China Glasgow College UESTC University of Electronic Science and Technology of China Chengdu China Academy of Military Science PLA National Innovation Institute of Defense Technology Beijing China School of Mechanical Engineering Shijiazhuang Tiedao University Shijiazhuang China

ISBN: (数字)9798350384437

ISBN: (纸本)9798350384444

Micro-hemispherical resonator gyroscope (micro-HRG) is one of the most precise micro-vibratory gyroscopes. However, traditional micro-hemispherical resonator gyroscope has complex processing and weak anti-electromagnetic ability. Micro-HRGs based on optomechanical drive the resonator cavity and detect angular velocity/vibrations through optomechanical interactions, offering advantages such as ultra-high precision and ease of control. This paper investigates the driving and detection mechanisms of angular velocity and vibrations in micro-HRGs based on cavity optomechanics and Whispering Gallery Mode (WGM), as well as their structural design methods. It includes simulation analyses of performance in optical modes and mechanical modes. In terms of optical modes, the paper discusses and analyzes the influence of the length and thickness of the outer edge of the resonator on the optical resonance frequency and the optical quality factor; in terms of mechanical modes, it discusses and analyzes the influence of the radius and length of the support column on the mechanical resonance frequency.

关键词： Integrated optics Vibrations Lips Simulation Optical resonators Resonant frequency Whispering gallery modes

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Efficient Routing Protection Algorithm Based on Optimized Network Topology

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Computers, Materials & Continua 2022年第9期72卷 4525-4540页

作者： Haijun Geng Zikun Jin Jiangyuan Yao Han Zhang Zhiguo Hu Bo Yang Yingije Guo Wei Wang Qidong Zhang Guoao Duan School of Computer and Information Technology Shanxi UniversityShanxi030006China School of Automation and Software Engineering Shanxi UniversityShanxi030006China School of Computer Science and Technology Hainan UniversityHaikou570228China Department of Computer Science&Technology Tsinghua UniversityBeijing100084China Department of Urban&Regional Planning San JoséState University San JoséCA95192USA Key Laboratory of Embedded System and Service Computing(Tongji University) Ministry of EducationShanghai201804China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu610054China Beijinng University of Technology Beijing-Dublin International CollegeBeijing University of TechnologyBeijing100124China

Network failures are unavoidable and occur *** the network fails,intra-domain routing protocols deploying on the Internet need to undergo a long convergence *** this period,a large number of messages are discarded,which results in a decline in the user experience and severely affects the quality of service of Internet Service Providers(ISP).Therefore,improving the availability of intra-domain routing is a trending research question to be *** usually employs routing protection algorithms to improve intra-domain routing ***,existing routing protection schemes compute as many backup paths as possible to reduce message loss due to network failures,which increases the cost of the network and impedes the methods deployed in *** address the issues,this study proposes an efficient routing protection algorithm based on optimized network topology(ERPBONT).ERPBONT adopts the optimized network topology to calculate a backup path with the minimum path coincidence degree with the shortest path for all source ***,the backup path with the minimum path coincidence with the shortest path is described as an integer programming *** the simulated annealing algorithm ERPBONT is used to find the optimal ***,the algorithm is tested on the simulated topology and the real *** experimental results show that ERPBONT effectively reduces the path coincidence between the shortest path and the backup path,and significantly improves the routing availability.

关键词： Routing protection algorithm network availability network failure shortest path backup path

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Event-Triggered Control for Human-in-the-Loop Multi-agent Systems under DoS Attacks

Event-Triggered Control for Human-in-the-Loop Multi-agent Sy...

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International Conference on Information Science and technology (ICIST)

作者： Yuanyuan Xu Kai Liu Hongjing Liang Tieshan Li Yue Long Qidong Liu Ximing Yang Zongsheng Hang School of Automation Engineering University of Electronic Science and Technology of China Chengdu China the College of Engineering China University of Petroleum-Beijing at Karamay Karamay China College of Engineering China University of Petroleum-Beijing at Karamay Karamay China

ISBN: (数字)9798350353334

ISBN: (纸本)9798350353341

This paper introduces an event-triggered secure control scheme for human-in-the-loop multi-agent systems in the context of DoS attacks. The integration of human intelligence and decision-making significantly enhances system security, as a human provides command signals to a non-autonomous leader agent. To determine unknown states, an adaptive neural state observer utilizes neural networks to approximate nonlinear functions, while a relative threshold-based event-triggered con-trol strategy is introduced to optimize communication resource usage. At the same time, a predictor is developed to monitor potential compromises in the edges of the multi-agent network to counteract attacks. Using Lyapunov analysis, it is shown that the proposed secure control protocol is capable of maintaining bounded closed-loop signals despite the occurrence of attacks. Finally, the effectiveness of the proposed scheme is validated by the simulation results.

关键词： Protocols Event detection Human intelligence Decision making Neural networks Human in the loop Security State estimation Monitoring Multi-agent systems

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Remaining Useful Life Prediction of Lead-Acid Battery Using Multi-Phase Wiener Process-Based Degradation Model

SSRN

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SSRN 2024年

作者： Yang, Jun Hong, Yueming Lin, Shuanghan Wang, Wenlin School of Electric Power Engineering South China University of Technology Guangzhou510641 China Chengdu Hezong Nuclear Power Engineering Co. Ltd Chengdu610213 China Sino-German College of Intelligent Manufacturing Shenzhen Technology University Shenzhen518118 China

Lead-acid batteries, as a stable and reliable emergency energy storage solution, still play an important role in various industrial applications. The accurate state of health (SOH) and remaining useful life (RUL) estimation is critical to smart battery management. In the paper, a three-phase Wiener model is proposed by taking into account the heterogeneous and stochastic degradation processes for health state estimation and RUL prediction of lead-acid batteries. Where the key step towards dynamic phase mutations and change-point detection for multi-phase Wiener process modeling is implemented using a sliding window segmentation method and model parameters are jointly updated with health estimation using a particle filtering-based kernel soothing algorithm. The practicality and effectiveness of the proposed multi-phase Wiener process-based RUL prediction method is finally demonstrated by a group experimental data of lead-acid batteries. A comprehensive sensitivity analysis of window size selection and phase-shift threshold to the accuracy of RUL prediction is also carried out to achieve an optimum prediction horizon. The demonstration results shows that accurate estimation of SOH and probability distribution of RUL predictions can be obtained by the three-phase Wiener process-based model. © 2024, The Authors. All rights reserved.

关键词： Forecasting

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Research on Broadband Complex Electromagnetic Environment Signal Simulation technology Based on Channel Reconstruction

Research on Broadband Complex Electromagnetic Environment Si...

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International Conference on Electronic Measurement and Instruments, ICEMI

作者： Zhengli Wang Shulin Tian Yu Tian Hao Zeng Jianhong Lyu Meng Wang College of Automation Engineering University of Electronic Science and Technology of China Chengdu China The 29th Research Institute of China Electronics Technology Group Corporation Corporation Chengdu China

Based on an efficient channelized structure, this research focuses on channelized reception, channel reconstruction transmission, and baseband signal generation. A broadband complex electromagnetic signal simulation method is proposed, and a design of the simulation scheme for broadband complex electromagnetic signals is implemented using domestically produced devices. Through simulation and experiments, it is demonstrated that this method can achieve multi-target simulation capability in a complex electromagnetic environment with an instantaneous bandwidth of 4 GHz. It can also be extended for applications in radar target simulators ranging from 0.8 GHz to 18 GHz.

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Study on the Performance of SY-01 Satellite Gamma-Ray Detector 15

Study on the Performance of SY-01 Satellite Gamma-Ray Detect...

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15th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2021

作者： Qie, Xiaoyu Guo, Siming He, Jiang Jiang, Zheng Yu, Tao Wen, Xing Ren, Shiwei An, Zhenghua Wu, Jinjie School of Science Hebei University of Science and Technology Shijiazhuang China Division of Ionizing Radiation Metrology Beijing China Institute of High Energy Physics Key Laboratory of Particle Astrophysics Beijing China The College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China

ISBN: (纸本)9781665444910

The New Space technology Test Satellite (SY-01) is scheduled to carry out its first flight with a Chinese aerospace rocket, carrying multiple payloads to carry out space scientific exploration missions. SY-01 can carry multiple payloads to carry out space exploration missions. Among them, the High Energy Burst Researcher (HEBS) is one of the important payloads on the satellite. It will monitor the high-energy electromagnetic counterparts of gravitational wave events throughout the day and discover large samples of gamma-ray bursts. This paper mainly introduces the ground test experiment of the HEBS payload gamma-ray detector (GRD) and studies energy resolution and energy linearity in the range of (38-80)keV. The test results show that the GRD has good performance in the low-energy region, which can meet the requirements of monitoring gravitational wave gamma-ray bursts on-orbit. © 2021 IEEE.

关键词： Gamma rays

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