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Artificial neural network-based method for discriminating Compton scattering events in high-purity germaniumγ-ray spectrometer

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nuclear Science and Techniques 2024年第2期35卷 64-84页

作者： Chun-Di Fan Guo-Qiang Zeng Hao-Wen Deng Lei Yan Jian Yang Chuan-Hao Hu Song Qing Yang Hou College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyChengdu 610059China

To detect radioactive substances with low activity levels,an anticoincidence detector and a high-purity germanium(HPGe)detector are typically used simultaneously to suppress Compton scattering background,thereby resulting in an extremely low detection limit and improving the measurement ***,the complex and expensive hardware required does not facilitate the application or promotion of this ***,a method is proposed in this study to discriminate the digital waveform of pulse signals output using an HPGe detector,whereby Compton scattering background is suppressed and a low minimum detectable activity(MDA)is achieved without using an expensive and complex anticoincidence detector and *** electric-field-strength and energy-deposition distributions of the detector are simulated to determine the relationship between pulse shape and energy-deposition location,as well as the characteristics of energy-deposition distributions for fulland partial-energy deposition *** relationship is used to develop a pulse-shape-discrimination algorithm based on an artificial neural network for pulse-feature *** accurately determine the relationship between the deposited energy of gamma(γ)rays in the detector and the deposition location,we extract four shape parameters from the pulse signals output by the *** learning is used to input the four shape parameters into the ***,the pulse signals are identified and classified to discriminate between partial-and full-energy deposition *** partial-energy deposition events are removed to suppress Compton *** proposed method effectively decreases the MDA of an HPGeγ-energy dispersive *** results show that the Compton suppression factors for energy spectra obtained from measurements on ^(152)Eu,^(137)Cs,and ^(60)Co radioactive sources are 1.13(344 keV),1.11(662 keV),and 1.08(1332 keV),respectively,and that the corresponding MDAs are 1.4%,5.

关键词： High-purity germaniumγ-ray spectrometer Pulse-shape discrimination Compton scattering Artificial neural network Minimum detectable activity

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FPGA implementation of 500-MHz high-count-rate high-time-resolution real-time digital neutron-gamma discrimination for fast liquid detectors

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nuclear Science and Techniques 2024年第8期35卷 101-113页

作者： Hui‑Yin Shen Jing‑Long Zhang Jie Zhang Jian‑Hang Zhou College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyChengdu 610059China Southwestern Institute of Physics P.O.Box 432Chengdu 610041China

Fast neutron flux measurements with high count rates and high time resolution have important applications in equipment such as *** this study,real-time neutron and gamma discrimination was implemented on a self-developed 500-Msps,12-bit digitizer,and the neutron and gamma spectra were calculated directly on an FPGA.A fast neutron flux measurement system with BC-501A and EJ-309 liquid scintillator detectors was developed and a fast neutron measurement experiment was successfully performed on the HL-2 M tokamak at the Southwestern Institute of Physics,*** experimental results demonstrated that the system obtained the neutron and gamma spectra with a time accuracy of 1 *** count rates of up to 1 Mcps,the figure of merit was greater than 1.05 for energies between 50 keV and 2.8 MeV.

关键词： Neutron-gamma discrimination Liquid scintillation detector Real-time spectrum analyzer

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Research on control and optimization of heavy-duty electromagnetic bearing of large-capacity energy storage flywheel 10

Research on control and optimization of heavy-duty electroma...

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10th IEEE International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia

作者： Zhao, Wenhao Liu, Wei Qu, Guangyu Jing, Hailian Huang, Jiancheng Chengdu University of Technology College of Nuclear Technology and Automation Engineering China

ISBN: (纸本)9798350351330

The rotor of a large-capacity flywheel energy storage system will cause energy loss due to air and mechanical resistance during high-speed operation, and the traditional PID control cannot take into account the system robustness under the large-sized and heavy-loaded rotor of the electromagnetic bearing system. This paper takes the heavy-duty electromagnetic bearing system as the research object, builds a fractional-order PID controller suitable for this system, and compares and analyses the operating characteristics of the electromagnetic bearing with that of the electromagnetic bearing under traditional PID control. The study shows that for the large-capacity energy storage flywheel heavy-duty electromagnetic bearing system, the use of fractional-order PID control technology can provide better control performance and anti-jamming ability, and thus ensure the stability and safety of the energy storage flywheel system. © 2024 IEEE.

关键词： Energy dissipation

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Method for rapid warning and activity concentration estimates in online waterγ-spectrometry systems

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nuclear Science and Techniques 2024年第3期35卷 1-12页

作者： Meng Wang Yi Gu Mao-Lin Xiong Liang-Quan Ge Qing-Xian Zhang Guo-Qiang Zeng Heng Lu Sheng-Liang Guo College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyChengdu 610059China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province (Chengdu University of Technology)Chengdu 610059China Chengdu New Ray Technology Co.Ltd Chengdu 610052China

Onlineγ-spectrometry systems for inland waters,most of which extract samples in situ and in real time,are able to produce reliable activity concentration measurements for waterborne radionuclides only when they are distributed relatively uniformly and enter into a steady-state diffusion regime in the measurement *** protect residents’health and ensure the safety of the living environment,better timeliness is required for this measurement *** address this issue,this study established a mathematical model of the online waterγ-spectrometry system so that rapid warning and activity estimates can be obtained for water under non-steady-state(NSS)*** addition,the detection efficiency of the detector for radionuclides during the NSS diffusion process was determined by applying the computational fluid dynamics technique in conjunction with Monte Carlo *** this basis,a method was developed that allowed the online waterγ-spectrometry system to provide rapid warning and activity concentration estimates for radionuclides in *** analysis of the NSS-mode measurements of^(40)K radioactive solutions with different activity concentrations determined the optimum warning threshold and measurement time for producing accurate activity concentration estimates for *** experimental results show that the proposed NSS measurement method is able to give warning and yield accurate activity concentration estimates for radionuclides 55.42 and 69.42 min after the entry of a 10 Bq/L^(40)K radioactive solution into the measurement chamber,*** times are much shorter than the 90 min required by the conventional measurement ***,the NSS measurement method allows the measurement system to give rapid(within approximately 15 min)warning when the activity concentrations of some radionuclides reach their respective limits stipulated in the Guidelines for Drinking-water Quality of the WHO,suggesting that this method con

关键词： Water radioactivity monitoring Dynamic detection efficiency Rapid warning Activity estimation

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Power Allocation Optimization of Hybrid Energy Storage System Based on AOA-VMD 11th

Power Allocation Optimization of Hybrid Energy Storage Syste...

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11th Frontier Academic Forum of Electrical engineering, FAFEE 2024

作者： Liu, Wei Zhao, Wenhao Feng, Chengwu Jing, Hailian Fang, Xiao Liu, Yingcan Han, Yuecheng College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu610059 China

ISBN: (纸本)9789819787791

With the construction and grid integration of large-scale photovoltaic power generation systems, utilizing energy storage technology to reduce grid-connected power fluctuations and enhance grid stability has become a research hotspot. This paper, based on a hybrid energy storage system composed of flywheels and lithium-ion batteries, analyzes the measured photovoltaic output power, establishes a hybrid energy storage system model to smooth the fluctuation rate of photovoltaic power generation. Addressing the power allocation issue of the hybrid energy storage system, an optimization algorithm (Arithmetic Optimization Algorithm, AOA) combined with Variational Mode Decomposition (VMD) is employed to solve the model. The simulation results demonstrate that the AOA-VMD algorithm reduces the rated power of both lithium batteries and flywheels. This validates its superiority in smoothing photovoltaic output fluctuations and addressing the mode mixing problem of non-stationary signals, as well as its effectiveness in optimizing power allocation in hybrid energy storage systems. It enhances the efficiency and operational reliability of hybrid energy storage systems, thus advancing the large-scale application of renewable energy sources. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Hybrid power

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Analysis of the Characteristics of 110 Kv Cable Partial Discharge High-Frequency Current Signal 14

Analysis of the Characteristics of 110 Kv Cable Partial Disc...

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14th International Conference on Power and Energy Systems, ICPES 2024

作者： Cai, Lehui Chen, Tianxiang Jiang, Zhuofeng Gu, Hong College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China

ISBN: (纸本)9798350391329

As an important part of power transmission, the safe operation of high-voltage cables is crucial. Partial discharge of 110 kV cable during operation is one of the main causes of cable failure, and it is of far-reaching theoretical significance and practical application value to monitor and analyze the signal generated by partial discharge. The purpose of this study is to explore the relationship between partial discharge and highfrequency current signal of 110 kV cable, and to identify whether partial discharge occurs by analyzing the characteristics of highfrequency current signal. © 2024 IEEE.

关键词： Signal analysis

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Development of Thick Film Integrated Circuit for nuclear Radiation Measurement

Development of Thick Film Integrated Circuit for Nuclear Rad...

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2024 Academic Conference of China Instrument and Control Society, ACCIS 2024

作者： Ren, Xi Hu, Chuanhao Zeng, Guoqiang Zhao, Honglin Li, Haotian Yue, Tao The college of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China

ISBN: (纸本)9798350350326

Most existing nuclear radiation measurement circuits are implemented based on PCB board-level technology, which has low integration, significant signal loss, and is susceptible to environmental interference, thus preventing the achievement of high-precision measurements in complex radiation fields. Consequently, this paper presents research on thick-film integrated circuits for nuclear radiation measurement. Resistors, capacitors, wires, and the interconnections of devices, are fabricated on an Al2O3 ceramic substrate through a combination of film-forming and surfacemount technologies. A thick-film integrated circuit has been developed for the pre-amplification, filtering, and peak holding of nuclear radiation detectors. This circuit offers advantages such as high integration, minimal parasitic effects, radiation resistance, and robust anti-interference capabilities. An energy spectrum measurement system has been constructed, utilizing the dedicated thick-film integrated circuit developed in this paper, achieving an energy resolution of 6.2% at 662 keV for the 3-inch NaI(Tl) detector, and 3.0% at 662 keV for the 3-inch LaBr3(Ce) detector, and 4.5% at 59.5 keV for the 5mm×5mm quasi-hemispherical CZT detector. The energy spectrum measurement results indicate that the thick-film integrated circuit exhibits exceptional performance and possesses significant application potential within the domain of nuclear radiation detection. © 2024 IEEE.

关键词： Thick films

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Study on the Effect of Temperature and Humidity on tanδ Measurement of 110 kV Current Transformer 14

Study on the Effect of Temperature and Humidity on tanδ Mea...

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14th International Conference on Power and Energy Systems, ICPES 2024

作者： Jiang, Zhuofeng Chen, Tianxiang Cai, LeHui Gu, Hong Chengdu University of Technology College of Nuclear Technology and Automation Engineering ChengDu China

ISBN: (纸本)9798350391329

As an important equipment in substations, 110kV current transformers play a role in measurement, control, and protection. Insulation defects are prone to occur during operation, and preventive tests should be conducted regularly on current transformers. By measuring the tan δ of 110kV current transformers under different temperature and humidity conditions, the existing temperature and humidity conversion comes from the former Soviet Union. Due to changes in equipment materials, structures, etc., the original conversion factor may not be applicable now. The experiment studied the problem of the influence of temperature and humidity on the current transformer tanδ due to the lack of on-site measurement. The experimental results were statistically analyzed using data analysis software such as Matlab, and a method for correcting the influence of temperature and humidity on the measurement results was obtained through Gauss Newton iteration. This provides a reference for on-site judgment of the insulation condition of current transformers. © 2024 IEEE.

关键词： MATLAB

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A survey of geothermal power generation combined with renewable energy for low carbon emissions

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Clean Energy 2024年第3期8卷 138-146页

作者： Xuyang Liu Dongsheng Cai Chiagoziem CUkwuoma Qi Huang Olusola Bamisile College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyChengduSichuan P.R.China Electrical Engineering Department Southwest University of Science and TechnologyMaiyangSichuan P.R.China

At present,industrial development is heavily dependent on traditional fossil energy,which has had an increasingly serious impact on the *** and renewable energy has received extensive attention and its proportion in daily life has gradually *** a clean and renewable energy source that is not affected by changes in weather and seasons,geothermal energy has developed rapidly in recent years and has received increasing *** to reports,the total installed capacity of geothermal power generation in the world in 2020 was 15950 MW-an increase of~27%over *** the end of 2019,the total installed capacity for global geothermal direct use was 107727 MW-an increase of 52.0%compared with 2015;the total annual energy use was 1020887 TJ(283580 GWh)-an increase of 72.3%over *** the investigation of geothermal power generation technology in recent years,the characteristics and shortcomings of various power generation methods are *** the same time,this review analyzes the characteristics of geothermal energy and other renewable-energy(solar energy,water energy)coupling power generation,and analyzes the principles and characteristics of geothermal energy and various new-energy coupling power generation *** investigation and analysis,this review provides a complete understanding of various geothermal power generation technologies and provides insights into the future development direction.

关键词： geothermal power generation solar energy water energy combined power generation

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Enhancing traffic light recognition in autonomous vehicles: A novel convolutional neural network approach for fog removal using efficient channel attention 4

Enhancing traffic light recognition in autonomous vehicles: ...

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4th International Conference on Computer Vision, Application, and Algorithm, CVAA 2024

作者： Ji, Shuai Zhang, Huangnian Dong, Xingwen The College of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan Chengdu610059 China

ISBN: (数字)9781510687622

ISBN: (纸本)9781510687615

Adverse environmental conditions such as haze, rain, and dust can significantly impair visibility for vehicles in motion, leading to blurred vision. Traditional de-fogging techniques often encounter limitations, including reliance on pre-existing assumptions, color distortion, and inadequate real-time performance. Consequently, these methods may fail to effectively distinguish traffic light images post-de-fogging, thereby hindering target recognition in autonomous driving systems. This study introduces a convolutional neural network that integrates deep and shallow feature fusion utilizing the Efficient Channel Attention mechanism. By employing an atmospheric scattering model, shallow features from fogged images are extracted through convolutional layer operations, while deep features are obtained using parallel multi-scale convolution kernels. The integration of shallow and deep features is achieved through a series of fusion steps, enhanced by the application of an effective channel attention mechanism. Ultimately, a transmittance map corresponding to the fog map is derived through nonlinear regression, facilitating the recovery of fog-free images and improving the recognition capabilities of the YOLOv8 model. Experimental results demonstrate that this approach effectively identifies traffic light targets during simulations of vehicles navigating traffic intersections. Furthermore, the quality of fog removal achieved by this method surpasses that of other algorithms, as evidenced by both subjective evaluations and objective analyses. © 2025 SPIE.

关键词： Convolutional neural networks

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