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Development of Thick Film Integrated Circuit for nuclear Radiation Measurement

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

引用

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

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

ISBN: (数字)9798350350326

ISBN: (纸本)9798350350333

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.

关键词： Integrated circuits Atmospheric measurements Pulse measurements Radiation detectors Energy resolution Detectors Particle measurements Loss measurement nuclear measurements Thickness measurement

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Design and Analysis of a New Consequent-Pole Hybrid Excited Permanent Magnet Machine with DC-biased Current

Design and Analysis of a New Consequent-Pole Hybrid Excited ...

引用

Magnetic Conference - Short Papers (INTERMAG Short Papers), IEEE International

作者： Guangyu Qu Jinyi Yu Yingcan Liu Wei Liu College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China

ISBN: (数字)9798350362213

ISBN: (纸本)9798350362220

A new consequent-pole hybrid-excited permanent magnet machine with DC-biased current (CPHEPM-DC machine) is proposed in this paper. The tooth located in the stator can be divided into two types: the main tooth and the auxiliary tooth. The five-phase multifunctional winding is adopted, which can be regarded as both the armature winding and the excitation winding. There are nine U-typed permanent magnets (PMs) placed in the rotor to improve the power density. In order to verify the correctness of the theoretical analysis, some electromagnetic properties, including the back electromotive force (back-EMF), the average output torque and the cogging torque are analyzed by the finite element (FE) method.

关键词： Permanent magnet machines Forging Power system measurements Torque Windings Stator windings Rotors

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

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

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IEEE International Conference on Power and Energy Systems (ICPES)

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

ISBN: (数字)9798350391329

ISBN: (纸本)9798350391336

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.

关键词： Partial discharges Power cables Power transmission Power cable insulation Fault location Discharges (electric) Power system reliability Signal analysis Monitoring Cables

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Analysis and Design of Finite Input Inductance Class-E Inverters with Variable Complex Loads 24

Analysis and Design of Finite Input Inductance Class-E Inver...

引用

24th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2023

作者： Wang, Yufei Sun, Min Cai, Dongsheng Li, Jian Huang, Qi Pan, Siming University of Electronic Science and Technology of China School of Mechanical and Electrical Engineering Chengdu China Institute of Electronic and Information Engineering of Uestc in Guangdong Dongguan China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China Southwest University of Science and Technology Mianyang China

ISBN: (纸本)9798350316186

This paper presents a detailed analysis and design method of the Class-E inverter with finite input inductance under arbitrary complex loads based on the first harmonic approximation. The analytic results show that the inverter can achieve ZVS with a wide range of complex loads with proper resonant network design. The model established allows designers to plot the theoretical ZVS load impedance region for specific design parameters directly in the complex plane. Subsequently a design method for the inverter to achieve high efficiency operation under variable complex loads is developed. This method thus allows the Class-E inverter to be used in an application in which the load resistance varies as well as the reactance. The effectiveness of the proposed method is verified by a 13.56 MHz Class-E inverter prototype. © 2023 IEEE.

关键词： Inductance

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Neural Network-Based Analysis of Local Extreme Cold Events in the Context of Global Warming: Causes and Predictions

Neural Network-Based Analysis of Local Extreme Cold Events i...

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Artificial Intelligence and Computer engineering (ICAICE), International Conference on

作者： Mao Zhang Ying Peng Yuming Zeng Yabing Chen The College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu Sichuan

ISBN: (数字)9798331528911

ISBN: (纸本)9798331528928

Global warming is a pressing issue, accompanied by both rising temperatures and local extreme cold events. This paper analyzes the relationship between global warming and extreme weather events through quantitative analysis of climate data. Focusing on the United States as a representative of regions experiencing extreme cold, a neural network model is developed to predict these events. Results indicate that rising global temperatures positively correlate with increased snowfall in the US, while negatively impacting US winter temperatures. This suggests that as global average temperatures increase, US winters become colder with more snow. The study concludes that global warming and local extreme cold events are not contradictory but strongly correlated phenomena.

关键词： Statistical analysis Snow Neural networks Focusing Pressing Predictive models Global warming Artificial intelligence Meteorology

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Study on the Effect of Temperature and Humidity on $\tan \delta$ Measurement of 110 kV Current Transformer

Study on the Effect of Temperature and Humidity on $\tan \de...

引用

IEEE International Conference on Power and Energy Systems (ICPES)

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

ISBN: (数字)9798350391329

ISBN: (纸本)9798350391336

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 $\delta$ 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 $\tan \delta$ 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.

关键词： Temperature measurement Temperature sensors Voltage measurement Current transformers Current measurement Humidity measurement Humidity Dielectric loss measurement Oil insulation Power transformer insulation

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A model for image super-resolution based on Swin Transformer

A model for image super-resolution based on Swin Transformer

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Computer Information Science and Application technology (CISAT), International Conference on

作者： Yukun Wang College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China

ISBN: (数字)9798350375107

ISBN: (纸本)9798350375114

Biological evolution has deepened our understanding of nature. Since the advent of civilization, humans have continually explored ways to record what they see and hear, from cave sketches to camera photography, with clarity being a consistent goal. Image super-resolution technology has made significant progress, but early methods like interpolation and filtering couldn’t effectively restore details. Traditional convolution methods require high computational and storage resources, limiting their use in hardware-constrained scenarios. Therefore, finding a method that reduces computational resources while ensuring effectiveness is crucial. This paper proposes the Residual Swin Transformer Block based on the Swin Transformer and designs the SR-Swin deep learning model for super-resolution image processing. Experiments show it achieves an average PSNR value of 30.6 dB, indicating good performance.

关键词： Photography Technological innovation Computational modeling Superresolution Refining Network architecture Transformers Image restoration Research initiatives Medical diagnostic imaging

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Design of a New Consequent-Pole Hybrid Excited Machine with Segmented Stator

Design of a New Consequent-Pole Hybrid Excited Machine with ...

引用

Magnetic Conference - Short Papers (INTERMAG Short Papers), IEEE International

作者： Guangyu Qu Yingcan Liu Jinyi Yu Wei Liu College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China

ISBN: (数字)9798350362213

ISBN: (纸本)9798350362220

In this paper, a new consequent-pole hybrid excited (HE) machine with segmented stator (CHE-SS machine) is proposed, which can be applied in some variable speed applications. To decrease the torque ripple, the segmented structure is adopted in the stator. The stator tooth can be divided into two types: the primary tooth and the secondary tooth. The field winding is placed on the primary tooth. The armature winding is placed on the secondary tooth. The U-typed permanent magnets (PMs) are placed in the rotor to improve the torque density and the rigidity. To validate the superiority of the proposed machine, some electromagnetic properties, such as the back electromotive force (back-EMF), the output torque and the cogging torque are simulated and analyzed by the finite element (FE) method. The FE-predicted results show that this proposed machine can exhibit excellent performances.

关键词： Magnetic flux Forging Torque Windings Stator windings Rotors Magnetic analysis

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Intelligent Strawberry Ripeness and Disease Detection Classification System Based on Deep Learning 3

Intelligent Strawberry Ripeness and Disease Detection Classi...

引用

3rd International Conference on Electronics and Information technology, EIT 2024

作者： Li, Jiajun Yang, Xin Qian, Songcheng Xu, Junjie Sun, Lei Zeng, Zhaoning University of Electronic Science and Technology of China School of Automation Engineering Chengdu China Chengdu University of Technology College of Energy Chengdu China Yunnan University School of Earth Science Yunnan China

ISBN: (纸本)9798350369151

In modern agricultural production, timely detection of crop diseases and accurate assessment of ripeness are crucial for reducing yield loss and enhancing product quality. Strawberries, being a widely popular and economically valuable fruit, are particularly sensitive to diseases and strict in ripeness requirements, making quality control during their production critical. This paper develops a classification system for strawberry ripeness and pest disease detection based on the YOLOv5 deep learning model and automated robotic arm technology. The YOLOv5 model, known for its high efficiency, accurately identifies strawberries and assesses their ripeness and pest conditions, thereby enhancing the precision and speed of detection. The automated robotic arm technology utilizes the detection results from the YOLOv5 model to perform efficient and accurate automated sorting and grading of strawberries, significantly reducing labor costs and human error. By integrating deep learning and automation technologies, this system substantially increases strawberry yield and quality, alleviates labor burdens, and enhances agricultural production efficiency. © 2024 IEEE.

关键词： Fruits

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Application of Fuzzy BP Neural Network to Evaluate Effectiveness of Curriculum Teaching Reform of nuclear Radiation Detection technology 5

Application of Fuzzy BP Neural Network to Evaluate Effective...

引用

5th IEEE Eurasian Conference on Educational Innovation, ECEI 2022

作者： Jiang, Jianfeng Li, Fei Gu, Yi Gu, Zhixing Ge, Liangquan Chengdu University of Technology College of Nuclear Technology and Automation Engineering Chengdu China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province Chengdu Chengdu China

ISBN: (纸本)9781665433181

In the context of curriculum teaching reform, it is of great significance to evaluate its effectiveness. In the paper, the teaching reform of the nuclear radiation detection technology curriculum is studied and analyzed by using the fuzzy BP neural network model. According to the investigation of the evaluation factors of education reform, four primary evaluation indexes and nine corresponding secondary indexes are selected: teaching ability, classroom order, after school learning, and teaching effectiveness. The preliminary data set is obtained in the form of a questionnaire. The fuzzy theory and analytic hierarchy process are used to construct and calculate the evaluation index to provide samples for the learning of neural networks. On this basis, the fuzzy BP neural network model is constructed by combining BP neural network with a fuzzy system. After testing, the relative error of the output prediction score is less than 0.0002, which well predicts the evaluation results and provides an effective method for the evaluation of curriculum teaching reform. © 2022 IEEE.

关键词： Fuzzy neural networks

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