Pub Date : 2024-07-01DOI: 10.1088/1742-6596/2774/1/012085
Yutong Wang, Chenyong Zhao, Heping Jia
As a country rich in hydropower resources, the transmission of Southwest hydropower through HVDC system can achieve a large range of optimal allocation of resources, but the traditional HVDC transmission plan is often operated in high and low binary value, which is difficult to give full play to the flexibility of HVDC transmission, and increase the carbon emission and operation cost of the power system. In order to fully explore the flexibility of HVDC transmission mode to reduce system carbon emissions, this paper builds a mixed integer programming model based on the scenario of hydropower being sent to the receiving system through the HVDC system, taking into account such factors as low operating costs and carbon dioxide emissions of thermal power units at the receiving end, overload capacity of the HVDC system, and reactive power compensation cost of the HVDC system. A low carbon scheduling method for cascade hydropower HVDC flexible delivery system is proposed. Finally, taking the cross-regional transmission system of cascade hydropower station as an example, the model proposed in this paper is compared with the high-low binary transmission of traditional HVDC system. The results show that the dispatch mode proposed in this paper and the flexible operation of the HVDC system can promote the consumption of new energy, reduce the CO2 emissions of the system and achieve the dispatch goal of both low carbon and economic operation.
{"title":"A Low-carbon Dispatching Method for Cascade Hydropower via HVDC Flexible Delivery","authors":"Yutong Wang, Chenyong Zhao, Heping Jia","doi":"10.1088/1742-6596/2774/1/012085","DOIUrl":"https://doi.org/10.1088/1742-6596/2774/1/012085","url":null,"abstract":"\u0000 As a country rich in hydropower resources, the transmission of Southwest hydropower through HVDC system can achieve a large range of optimal allocation of resources, but the traditional HVDC transmission plan is often operated in high and low binary value, which is difficult to give full play to the flexibility of HVDC transmission, and increase the carbon emission and operation cost of the power system. In order to fully explore the flexibility of HVDC transmission mode to reduce system carbon emissions, this paper builds a mixed integer programming model based on the scenario of hydropower being sent to the receiving system through the HVDC system, taking into account such factors as low operating costs and carbon dioxide emissions of thermal power units at the receiving end, overload capacity of the HVDC system, and reactive power compensation cost of the HVDC system. A low carbon scheduling method for cascade hydropower HVDC flexible delivery system is proposed. Finally, taking the cross-regional transmission system of cascade hydropower station as an example, the model proposed in this paper is compared with the high-low binary transmission of traditional HVDC system. The results show that the dispatch mode proposed in this paper and the flexible operation of the HVDC system can promote the consumption of new energy, reduce the CO2 emissions of the system and achieve the dispatch goal of both low carbon and economic operation.","PeriodicalId":506941,"journal":{"name":"Journal of Physics: Conference Series","volume":"16 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141841473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Routine urine tests play a vital role in the diagnosis of kidney and urinary system diseases, with test outcomes directly affecting disease diagnosis. However, if urine is exposed to room temperature for extended periods, it may lead to rapid degradation of the sample, thus affecting the accuracy of the test. Therefore, for urine that requires long-term storage for testing, it is necessary to control the temperature within an appropriate range during the collection process to effectively preserve the activity of urinary proteins and ensure the reliability of the test. To address this issue, a cryogenic urine storage system was developed, and a fuzzy LADRC temperature control algorithm combined with a Smith predictor was proposed, specifically designed for optimizing the temperature stability during urine collection and storage processes. Initially, the characteristics of the cryogenic storage system were analyzed. A simulation model combining the fuzzy LADRC with a Smith predictor was built using the MATLAB/Simulink simulation toolkit, and a comparative simulation was conducted. The simulation results showed that the proposed algorithm significantly improved the time-domain response performance compared to PID control, verifying the superiority of the algorithm over PID control. The final experimental results demonstrated that the fuzzy LADRC temperature control algorithm with the Smith predictor essentially eliminated overshoot, with improvements in speed and stability compared to PID control.
尿液常规检测在诊断肾脏和泌尿系统疾病方面发挥着重要作用，检测结果直接影响疾病诊断。然而，如果尿液长期暴露在室温下，可能会导致样本迅速降解，从而影响检验的准确性。因此，对于需要长期储存检测的尿液，有必要在采集过程中将温度控制在适当的范围内，以有效保存尿蛋白的活性，确保检测的可靠性。针对这一问题，我们开发了一种低温尿液储存系统，并提出了一种结合史密斯预测器的模糊 LADRC 温度控制算法，专门用于优化尿液采集和储存过程中的温度稳定性。首先，对低温储存系统的特性进行了分析。使用 MATLAB/Simulink 仿真工具包建立了模糊 LADRC 与 Smith 预测器相结合的仿真模型，并进行了对比仿真。仿真结果表明，与 PID 控制相比，所提出的算法显著改善了时域响应性能，验证了该算法优于 PID 控制。最终的实验结果表明，与 PID 控制相比，采用 Smith 预测器的模糊 LADRC 温度控制算法基本上消除了超调，并提高了速度和稳定性。
{"title":"Research on the temperature control of a cryogenic urine storage system based on improved adaptive LADRC","authors":"Changjian Zhu, Yu Jiang, Donghua Shen, Youpeng Zhao","doi":"10.1088/1742-6596/2806/1/012023","DOIUrl":"https://doi.org/10.1088/1742-6596/2806/1/012023","url":null,"abstract":"\u0000 Routine urine tests play a vital role in the diagnosis of kidney and urinary system diseases, with test outcomes directly affecting disease diagnosis. However, if urine is exposed to room temperature for extended periods, it may lead to rapid degradation of the sample, thus affecting the accuracy of the test. Therefore, for urine that requires long-term storage for testing, it is necessary to control the temperature within an appropriate range during the collection process to effectively preserve the activity of urinary proteins and ensure the reliability of the test. To address this issue, a cryogenic urine storage system was developed, and a fuzzy LADRC temperature control algorithm combined with a Smith predictor was proposed, specifically designed for optimizing the temperature stability during urine collection and storage processes. Initially, the characteristics of the cryogenic storage system were analyzed. A simulation model combining the fuzzy LADRC with a Smith predictor was built using the MATLAB/Simulink simulation toolkit, and a comparative simulation was conducted. The simulation results showed that the proposed algorithm significantly improved the time-domain response performance compared to PID control, verifying the superiority of the algorithm over PID control. The final experimental results demonstrated that the fuzzy LADRC temperature control algorithm with the Smith predictor essentially eliminated overshoot, with improvements in speed and stability compared to PID control.","PeriodicalId":506941,"journal":{"name":"Journal of Physics: Conference Series","volume":"105 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141842563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1088/1742-6596/2806/1/012021
Zhiling Qian, Yuan Yuhao
Bone age can be predicted by taking hand X-rays. Prediction of bone age is a labor-intensive and time-consuming radiological clinical task. This paper combined a series of prevailing deep learning methods to address this problem. Stages1~3 of Swin Transformer served as backbone, with the multi-scale neck network and detection head of Yolox connected to it. These formed the first period’s hand bone joints detector. After finishing detector training, the pre-trained Stages1~3 were frozen for the second period’s developmental grades classification of corresponding bone joint. Additionally, a linear classification head was attached to Swin Transformer’s stage4, where it functioned as second period’s classifier for different developmental grades. Therefore, a dual-purpose composite network was created like this. It made the bone age prediction model have high integrated level, and the two periods could be applied fusion training. In addition, different attention mechanisms were introduced at different positions, loss functions and optimization methods were also redesigned to ensure improvement of network performance. In the hand bone joints detection period, compared to the original Yolox-X, there was a 5.27% increase in Ap@50 and a 40.12% increase in Ap@50:95. As for the developmental grade classification period, the validation accuracy surpassed that of EfficientNetV2-L by 5.18%, with one-third the training size.
{"title":"Design of bifunctional composite bone age prediction network based on Swin-Transformer","authors":"Zhiling Qian, Yuan Yuhao","doi":"10.1088/1742-6596/2806/1/012021","DOIUrl":"https://doi.org/10.1088/1742-6596/2806/1/012021","url":null,"abstract":"\u0000 Bone age can be predicted by taking hand X-rays. Prediction of bone age is a labor-intensive and time-consuming radiological clinical task. This paper combined a series of prevailing deep learning methods to address this problem. Stages1~3 of Swin Transformer served as backbone, with the multi-scale neck network and detection head of Yolox connected to it. These formed the first period’s hand bone joints detector. After finishing detector training, the pre-trained Stages1~3 were frozen for the second period’s developmental grades classification of corresponding bone joint. Additionally, a linear classification head was attached to Swin Transformer’s stage4, where it functioned as second period’s classifier for different developmental grades. Therefore, a dual-purpose composite network was created like this. It made the bone age prediction model have high integrated level, and the two periods could be applied fusion training. In addition, different attention mechanisms were introduced at different positions, loss functions and optimization methods were also redesigned to ensure improvement of network performance. In the hand bone joints detection period, compared to the original Yolox-X, there was a 5.27% increase in Ap@50 and a 40.12% increase in Ap@50:95. As for the developmental grade classification period, the validation accuracy surpassed that of EfficientNetV2-L by 5.18%, with one-third the training size.","PeriodicalId":506941,"journal":{"name":"Journal of Physics: Conference Series","volume":"16 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141843185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1088/1742-6596/2793/1/012010
C. Lee, Chien-Kuan Liu, Y. Cheng
This work focuses on applying a novel and integrated multi-objective optimization approach to enhance the strength of the railway bogie frame system under both static loads and fatigue tests. The finite element modelling is conducted using ANSYS/Workbench software, and the von Mises stress and fatigue safety factor of the bogie frame are computed through conventional simulations for EN 13749 and EN 15663 testing. After employing the uniform design method, the fatigue safety factor is increased from 1.924 to 2.586, resulting in a 34.41% improvement rate for the bogie frame. Additionally, the von Mises stress is reduced from 56.96 MPa to 42.91 MPa, reflecting a 24.66% improvement rate compared to the original design. Following the implementation of the multi-objective optimum design process, the fatigue safety factor further improves from 1.924 to 2.742, resulting in a 42.51% enhancement for the bogie frame. Simultaneously, the von Mises stress decreases from 56.96 MPa to 40.48 MPa, yielding an improvement rate of 28.92%.
{"title":"Multi-objective optimal design for the railway bogie frame system under stress and fatigue analysis","authors":"C. Lee, Chien-Kuan Liu, Y. Cheng","doi":"10.1088/1742-6596/2793/1/012010","DOIUrl":"https://doi.org/10.1088/1742-6596/2793/1/012010","url":null,"abstract":"\u0000 This work focuses on applying a novel and integrated multi-objective optimization approach to enhance the strength of the railway bogie frame system under both static loads and fatigue tests. The finite element modelling is conducted using ANSYS/Workbench software, and the von Mises stress and fatigue safety factor of the bogie frame are computed through conventional simulations for EN 13749 and EN 15663 testing. After employing the uniform design method, the fatigue safety factor is increased from 1.924 to 2.586, resulting in a 34.41% improvement rate for the bogie frame. Additionally, the von Mises stress is reduced from 56.96 MPa to 42.91 MPa, reflecting a 24.66% improvement rate compared to the original design. Following the implementation of the multi-objective optimum design process, the fatigue safety factor further improves from 1.924 to 2.742, resulting in a 42.51% enhancement for the bogie frame. Simultaneously, the von Mises stress decreases from 56.96 MPa to 40.48 MPa, yielding an improvement rate of 28.92%.","PeriodicalId":506941,"journal":{"name":"Journal of Physics: Conference Series","volume":"120 S7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141843718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Insulator strings are important components in power systems to support and isolate transmission lines. Due to long-term exposure to the natural environment, insulator strings are susceptible to damage, such as self-explosion, broken umbrella skirts, and galvanic corrosion, which is one of the most common failures. Once damaged, it can lead to widespread power outage, which affects people’s life and industrial production, so it is necessary to inspect and replace the damaged insulator strings regularly. This thesis proposes a quadratic sampling based approach to assess the quality of insulator string sample banks. Through simple random sampling, estimation and interval estimation of the sample pool, the pass rate and average number of labels of the original sample pool are initially assessed and compared with the usage requirements to decide whether to carry out a second sampling or not; the second sampling used SADS as an evaluation metric to assess the performance of the insulator string sample bank.
{"title":"Quality Assessment Method for Insulator Sample Bank Based on Sampling Theory","authors":"Jie Wei, Xing He, Zhihan Yi, Xizhe Li, Rui Song, Jian Chen","doi":"10.1088/1742-6596/2774/1/012057","DOIUrl":"https://doi.org/10.1088/1742-6596/2774/1/012057","url":null,"abstract":"\u0000 Insulator strings are important components in power systems to support and isolate transmission lines. Due to long-term exposure to the natural environment, insulator strings are susceptible to damage, such as self-explosion, broken umbrella skirts, and galvanic corrosion, which is one of the most common failures. Once damaged, it can lead to widespread power outage, which affects people’s life and industrial production, so it is necessary to inspect and replace the damaged insulator strings regularly. This thesis proposes a quadratic sampling based approach to assess the quality of insulator string sample banks. Through simple random sampling, estimation and interval estimation of the sample pool, the pass rate and average number of labels of the original sample pool are initially assessed and compared with the usage requirements to decide whether to carry out a second sampling or not; the second sampling used SADS as an evaluation metric to assess the performance of the insulator string sample bank.","PeriodicalId":506941,"journal":{"name":"Journal of Physics: Conference Series","volume":"98 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141843876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1088/1742-6596/2795/1/012009
Pengcheng Duan
The energy sector is undergoing a significant transformation, driven by the urgent need to address climate change, enhance energy security, and cater to the growing demand for electricity. In the context of escalating global energy demands and environmental concerns, this study investigates the integration and application of smart grid and microgrid technologies within the Western Pipeline Company’s operations. Addressing the critical need for sustainable energy solutions, our research focuses on enhancing system efficiency, reliability, and user satisfaction while reducing environmental impacts. Our findings reveal significant improvements in peak load reduction (15.3%), total energy reduction (20.46%), and carbon emission reduction (30.01%) compared to conventional methods. Moreover, the study demonstrates a marked increase in system reliability (95.35%) and a substantial decrease in response times (2.6 seconds), highlighting the efficiency of our integrated energy management strategies. The research also underscores notable advancements in customer satisfaction (90.13%), maintenance cost reduction (50.4%), and renewable energy utilization (75.80%), affirming the effectiveness and economic viability of implementing advanced grid technologies.
{"title":"Integration of Smart Grid and Application of Microgrid Technologies in Western Pipeline Company","authors":"Pengcheng Duan","doi":"10.1088/1742-6596/2795/1/012009","DOIUrl":"https://doi.org/10.1088/1742-6596/2795/1/012009","url":null,"abstract":"\u0000 The energy sector is undergoing a significant transformation, driven by the urgent need to address climate change, enhance energy security, and cater to the growing demand for electricity. In the context of escalating global energy demands and environmental concerns, this study investigates the integration and application of smart grid and microgrid technologies within the Western Pipeline Company’s operations. Addressing the critical need for sustainable energy solutions, our research focuses on enhancing system efficiency, reliability, and user satisfaction while reducing environmental impacts. Our findings reveal significant improvements in peak load reduction (15.3%), total energy reduction (20.46%), and carbon emission reduction (30.01%) compared to conventional methods. Moreover, the study demonstrates a marked increase in system reliability (95.35%) and a substantial decrease in response times (2.6 seconds), highlighting the efficiency of our integrated energy management strategies. The research also underscores notable advancements in customer satisfaction (90.13%), maintenance cost reduction (50.4%), and renewable energy utilization (75.80%), affirming the effectiveness and economic viability of implementing advanced grid technologies.","PeriodicalId":506941,"journal":{"name":"Journal of Physics: Conference Series","volume":"76 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141843910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1088/1742-6596/2774/1/012047
Yilong Guo, Siwen Chen, Shiyou Xing, Jinlei Sun, Shiyan Pan
Hybrid Capacitive Battery (HCB) is an emerging electrochemical energy storage device that holds immense potential in the application of future energy storage systems (ESSs). When the ESS composed of HCBs is controlled and scheduled, it is necessary to understand its ability to release or absorb power. Therefore, accurate power prediction of batteries is crucial. This paper introduces a method for estimating the state of power (SOP) in HCB using the particle swarm optimization (PSO) algorithm. The method mainly consists of three parts: first, an equivalent circuit model (ECM) is employed to accurately represent the HCB, then an H-∞ filter algorithm is used to estimate its state of energy (SOE). In the third step, an optimization objective function is established based on the HCB model to describe the terminal voltage changes during its charging and discharging process, and use PSO algorithm to solve and obtain the estimated SOP results. Finally, the reference values of the SOP were obtained through constant power pulse testing experiments, proving that this method can effectively predict SOP under constant power conditions.
{"title":"State of Power Estimation Method for Hybrid Capacitor Battery Based on PSO Algorithm","authors":"Yilong Guo, Siwen Chen, Shiyou Xing, Jinlei Sun, Shiyan Pan","doi":"10.1088/1742-6596/2774/1/012047","DOIUrl":"https://doi.org/10.1088/1742-6596/2774/1/012047","url":null,"abstract":"\u0000 Hybrid Capacitive Battery (HCB) is an emerging electrochemical energy storage device that holds immense potential in the application of future energy storage systems (ESSs). When the ESS composed of HCBs is controlled and scheduled, it is necessary to understand its ability to release or absorb power. Therefore, accurate power prediction of batteries is crucial. This paper introduces a method for estimating the state of power (SOP) in HCB using the particle swarm optimization (PSO) algorithm. The method mainly consists of three parts: first, an equivalent circuit model (ECM) is employed to accurately represent the HCB, then an H-∞ filter algorithm is used to estimate its state of energy (SOE). In the third step, an optimization objective function is established based on the HCB model to describe the terminal voltage changes during its charging and discharging process, and use PSO algorithm to solve and obtain the estimated SOP results. Finally, the reference values of the SOP were obtained through constant power pulse testing experiments, proving that this method can effectively predict SOP under constant power conditions.","PeriodicalId":506941,"journal":{"name":"Journal of Physics: Conference Series","volume":"20 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141844796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1088/1742-6596/2794/1/012007
M. Filipova, A. Mladenov, B. Jekov, L. Georgiev
Quantum communication technologies are on the verge of a technological development that will change humanity. This paper aims to show the need for quantum technology knowledge outreach among the general public and the necessity of quantum science reaching people in an understandable language. Drawing on global scholarly sources, we explore the differences between classical and quantum physics, classical and quantum computing, and the conventional Internet versus the quantum Internet. Examples from different fields show the need for education and the popularization of quantum technologies. A number of effective methods for teaching youngsters are described, such as infographics, comics, interactive events, storytelling, and personal experiences. This research is based on worldwide scientific sources and an experimental approach, aiming to contribute to a wider understanding of quantum communication technologies based on the contemporary need for their outreach.
{"title":"Bridging Space and Society: The Significance of Public Outreach of Quantum Communication Technologies","authors":"M. Filipova, A. Mladenov, B. Jekov, L. Georgiev","doi":"10.1088/1742-6596/2794/1/012007","DOIUrl":"https://doi.org/10.1088/1742-6596/2794/1/012007","url":null,"abstract":"\u0000 Quantum communication technologies are on the verge of a technological development that will change humanity. This paper aims to show the need for quantum technology knowledge outreach among the general public and the necessity of quantum science reaching people in an understandable language. Drawing on global scholarly sources, we explore the differences between classical and quantum physics, classical and quantum computing, and the conventional Internet versus the quantum Internet. Examples from different fields show the need for education and the popularization of quantum technologies. A number of effective methods for teaching youngsters are described, such as infographics, comics, interactive events, storytelling, and personal experiences. This research is based on worldwide scientific sources and an experimental approach, aiming to contribute to a wider understanding of quantum communication technologies based on the contemporary need for their outreach.","PeriodicalId":506941,"journal":{"name":"Journal of Physics: Conference Series","volume":"31 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141845415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1088/1742-6596/2793/1/012007
Cheng-Lung Yu, Jian-Sheng Xie Su, Hsiang-Yu Hsieh, Po-Liang Liu
This study utilizes ab initio methods to investigate the atomic structures of gallium-doped zinc oxides and zinc-doped gallium oxides, focusing on the mechanisms of ZnGa2O4 film formation through doping and substitution. Utilizing X-ray diffraction and bond length assessments, we investigate the interaction between zinc oxide and gallium oxide components. In the case of gallium doping within ZnO, the notable shift of the primary X-ray diffraction peak from 36.10° to 35.45° with an increase in gallium content closely aligns with the ZnGa2O4 peak at 35.50°. Conversely, when the substitution concentration of zinc in Ga2O3 exceeds 37.5%, it is not conducive to the formation of ZnGa2O4. This finding underscores the role of gallium doping in facilitating the development of ZnGa2O4 films, highlighting the nuanced impact of dopant concentration on the structural properties and demonstrating the preferential alignment of gallium-doped ZnO with the desired ZnGa2O4 structure.
本研究利用 ab initio 方法研究了掺镓锌氧化物和掺锌镓氧化物的原子结构，重点是通过掺杂和置换形成 ZnGa2O4 薄膜的机制。利用 X 射线衍射和键长评估，我们研究了氧化锌和氧化镓成分之间的相互作用。在氧化锌中掺入镓的情况下，随着镓含量的增加，主要 X 射线衍射峰明显从 36.10°移至 35.45°，与 35.50°的 ZnGa2O4 峰密切吻合。相反，当 Ga2O3 中锌的替代浓度超过 37.5%，则不利于形成 ZnGa2O4。这一发现强调了掺镓在促进 ZnGa2O4 薄膜发展中的作用，突出了掺杂浓度对结构特性的细微影响，并证明了掺镓 ZnO 与所需 ZnGa2O4 结构的优先对准。
{"title":"Ab initio study of gallium-doped zinc oxides and zinc-doped gallium oxides","authors":"Cheng-Lung Yu, Jian-Sheng Xie Su, Hsiang-Yu Hsieh, Po-Liang Liu","doi":"10.1088/1742-6596/2793/1/012007","DOIUrl":"https://doi.org/10.1088/1742-6596/2793/1/012007","url":null,"abstract":"\u0000 This study utilizes ab initio methods to investigate the atomic structures of gallium-doped zinc oxides and zinc-doped gallium oxides, focusing on the mechanisms of ZnGa2O4 film formation through doping and substitution. Utilizing X-ray diffraction and bond length assessments, we investigate the interaction between zinc oxide and gallium oxide components. In the case of gallium doping within ZnO, the notable shift of the primary X-ray diffraction peak from 36.10° to 35.45° with an increase in gallium content closely aligns with the ZnGa2O4 peak at 35.50°. Conversely, when the substitution concentration of zinc in Ga2O3 exceeds 37.5%, it is not conducive to the formation of ZnGa2O4. This finding underscores the role of gallium doping in facilitating the development of ZnGa2O4 films, highlighting the nuanced impact of dopant concentration on the structural properties and demonstrating the preferential alignment of gallium-doped ZnO with the desired ZnGa2O4 structure.","PeriodicalId":506941,"journal":{"name":"Journal of Physics: Conference Series","volume":"16 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141845854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1088/1742-6596/2774/1/012052
Guofeng Liu, Lingtao Gao, Lu Yu, Wei Yang
As an important part of the power system, the operating status of the transformer will have a direct impact on the stability and reliability of the power system. In view of the problems of high diagnosis cost and low accuracy of diagnosis results in existing fault diagnosis technology, this paper takes advantage of the obvious difference between the voiceprint signal of the transformer under normal and fault operating conditions and applies it to transformer fault diagnosis, which can effectively reflect its internal working status and fault conditions, helping operation and maintenance personnel promptly discover equipment defects and locate fault causes. In order to accurately realize transformer fault diagnosis, this paper uses the improved hybrid frog leaping algorithm to optimize the fault diagnosis algorithm of support vector machine parameters for fault diagnosis, which further improves the accuracy of fault diagnosis and is of great significance for accurately identifying transformer fault states.
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