bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on Thermal Aging Characteristics of HTV Silicone Rubber Sheds of Composite Insulators
Authors: Zeng Leilei , Zhang Yu , Rao Zhen , Liu Yan , Miao Xuemei , Ma Liang , Yan Nianping , Zeng Xin , Zhou Longwu , Zou Yang , Tong Chao , Deng Zhibin 
Published: April 2020

Abstract
The composite insulator is affected by many aging factors during its operation. Thermal aging is the most common aging effect on the high temperature vulcanized (HTV) silicone rubber sheds of composite insulators. In order to study the thermal aging characteristics of HTV silicone rubber sheds of composite insulators, the artificial thermal aging test of HTV silicone rubber sheds samples was carried out, and then the aged samples were analyzed by scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR) and thermogravimetric analysis (TG), and HTV silicone rubber was studied. The results show that the pyrolysis process of HTV silicone rubber can be divided into two stages: dehydration and decomposition of Al(OH)3 flame retardant in the first stage and polydimethylsiloxane (PDMS) molecule in the second stage. With the increase of thermal aging time, the crack width and number on the surface of the sample increase gradually, and the infrared absorption peaks of Si-C side chain, Si-O-Si main chain and O-H group decrease gradually, which indicates that thermal aging can greatly accelerate the aging process of HTV silicone rubber of composite insulators.
Effects of Three Biomass Fillers on the Properties of Melamine Modified Urea-Formaldehyde Resin
Authors: Xu Shanfeng , Xia Sanshan , Chen Yuzhu , Xiao Hui , Yi Maoyu , Yang Yupeng 
Published: April 2020

Abstract
In this paper, the ultra-pulverized walnut shell (WS), walnut dregs (WD), and tea (T) were blended with formaldehyde solution. Based on the determination of the reactivity of WS, WD, T and formaldehyde solution, WS, WD, T was respectively blended with melamine modified urea-formaldehyde resin (MUF) as fillers, and the properties of the resin and plywood were analyzed. The results showed that under the conditions of blending, the pot life and gel time of MUF resin are prolonged, the viscosity is increased, while the pH value, the free formaldehyde content and the methylol content are decreased. The formaldehyde emission of the prepared plywood decreased with the amount of WS, WD, and T increased. When the added amounts of WS, WD, and T were 30%, 30%, and 10%, respectively, the wet bond strength of plywood increased by 120.00%, 47.27%, and 50.91%, respectively. The optimal amount of WS, WD, and T is 20%, 30%, and 10%.
Weak Moving Target Detection Based on Improved Wavelet De-noising
Authors: Guo Chuang , Jia Fangxiu , Li Wenbin , Hu Zhiming , Song Yang 
Published: April 2020

Abstract
When the weak moving target is far away, the signal of the detecting system is very weak, and the background noise has a great influence on the detection results. In this paper, a method based on kernel theory is proposed, this method can distinguish target signal from background noise signal. To suppress background noise, a new threshold function based on wavelet packet decomposition is proposed. In the high-speed camera, the above two methods are used to detect weak moving targets. The experimental results show that the method has great advantages in the detection of small moving targets.
Development of Drilling Fixture for Surface mounted with leaf spring seat of Front Axle
Authors: Dai Tianqi , Wu Ying , Chen Yulin , Zhou Xu , Zhang Deshun , Zhang Saiqi , Wu Zuguo 
Published: April 2020

Abstract
In order to meet the requirement of large-scale production of front axle, ensure the accuracy requirement of drilling holes on the surface mounted with leaf spring seat of front axle, and improve the production efficiency of front axle, the machining center fixture for drilling holes on the surface mounted with leaf spring seat of front axle was developed. The technological requirements of drilling holes on the surface mounted with leaf spring seat of front axle are introduced. The working principle of the machining center fixture for drilling holes on the surface mounted with leaf spring seat of front axle are introduced. The structure and characteristics of the key parts of the fixture are highlighted. Successful development of the fixture improves the production efficiency of front axle, greatly reduces the labor intensity of operators, and improves the automation degree of the production line.
Preparation and properties of ternary copolymer hydrogel materials
Authors: Kang Cheng , Zhang Haoran , Yuan Yuan , Zhou GuoPing , Yao Bing , Wang Shifan 
Published: April 2020

Abstract
In order to improve the adsorption of heavy metal ions on acrylic hydrogels, P(AA-co-AM-co-S) hydrogels were synthesized from acrylic, acrylamide and styrene as raw materials. During the synthesis, potassium persulfate was used as the initiator, N, N’-methylenebisacrylamide was used as the crosslinking agent, and the degree of neutralization was 80%. The structure of the prepared hydrogel was determined by infrared spectroscopy. The adsorption properties of hydrogels on Ni2+ at different times and pH were determined. The results show that the adsorption capacity of Ni2+ ions on the hydrogel reaches the equilibrium adsorption capacity in about 2 hours and reaches 159 mg/g. The second-order kinetic model fits well. The optimal pH for the adsorption of Ni2+ ions by the hydrogel is 3.5 ~ 4.5 and the adsorption capacity is 160 mg/g. This study has important theoretical and practical significance for the development of high-efficiency, environmentally friendly, low-cost heavy metal ion hydrogels.
Optimize Print Speed and Laser Power of the 3D Printing Technology Selective Laser Sintering (SLS) for Mixture of Powder Materials Green Bean and Polylactic Acid (GBP/PLA)
Authors: Dinh Ba Bach , Guo Yanling , Nguyen Tat Thang , Tran Nho Tho 
Published: April 2020

Abstract
In this study, we performed the optimization study of selective laser sintering (SLS) 3D printing mode for the material is a mixture of Green Bean Powder and Polylactic acid powder (GBP/PLA) to createed a new biodegradable synthetic material (GBCP). The study was designed with 2 factors changing: print speed and laser power, fixed factor is the ratio of GBP/PLA is 20/80. Through Scanning Electron Microscope (SEM) to assess the structure of materials; tensile strength, flexural strength and impact strength evaluate the mechanical properties of materials. Experimental results show that with the printing speed of 2 m/s, the printing power of 21W, the GBP/PLA material has the best quality with a tensile strength of 2.89 MPa, flexural strength of 5.91MPa and impact strength is 0.57KJ.m2.
Analysis of Activation Energy of Epoxy Resin Insulated Transformer Based on Dynamic Method
Authors: Zhang Xin , Xi Xiaoguang , Liu Liqing , Wang Yang , Liu Guangzhen , Li Jialong , Wang Xuqiang 
Published: April 2020

Abstract
Epoxy resin insulation transformer is a typical dry-type insulation equipment in power system. The insulation performance diagnosis of such equipment is the current research focus. This paper analyses the basic principles of two typical dynamic methods, FWO method and Kissinger method, and introduces the specific application methods of the two methods in the calculation of the activation energy of epoxy resin insulated transformers, which proves the effectiveness of the method. This article provides theoretical basis and example verification for insulation aging diagnosis of dry-type transformers based on quantitative characterization of activation energy.
Head posture detection with embedded attention model
Authors: Han Jin , Liu Yansheng 
Published: April 2020

Abstract
Based on Convolutional Neural Network, the paper presents a compact detection algorithm that can estimate the head pose from a single picture. Our method is based on soft stage wise regression. In order to reduce model complexity, three-dimensional detection of the “pitch, yaw, and roll” of the head posture adopts multi-level classification. Each level of classification requires only a small number of classification tasks and fewer neurons. In order to enhance the feature expression of the algorithm, the attention model is embedded. Attention model includes channel attention structure and spatial attention structure, enhancing the feature expression of the feature map in the two dimensions of the intermediate feature map channel and space. The attention model can be seamlessly integrated into the CNN architecture with low overhead. The experiment proves that the improved algorithm compares the method model proposed by Yang with a smaller complexity of 4.36M and an average absolute error of 0.7%~0.9%.
Lightweight Incremental File Check pointing
Authors: Wei Shuangjian , Chen Qiurui 
Published: April 2020

Abstract
Checkpoint technology can improve the efficiency of simulation backtracking. Existing check pointing tools are dedicated to solving system fault tolerance and load balancing problems, and have limited support for persistent data. The overhead of setting and restoring checkpoints for persistent data is critical for simulation backtracking. We designed LibIFC to deal with the problem of checkpoint overhead for persistent data in two aspects. Firstly, the incremental method is used to reduce the space cost of the checkpoint; secondly, a two-way recovery method is used to reduce the time cost of checkpoint recovery. The experimental results show that the above two strategies have achieved significant results in terms of space overhead and checkpoint recovery time overhead.
Research on Power System Performance Evaluation Based on Machine Learning Technology
Authors: Yang Qijiu 
Published: April 2020

Abstract
Power systems often suffer from various large disturbances during operation, especially grounding and short-circuit faults of operating lines, which may lead to transient instability of the system. In view of the fact that the existing relay protection is difficult to be fully applied to the power system with high permeability distributed energy, the machine learning algorithm is applied to the relay protection of the power system. Enhance the robustness of the model to noise; In the training, more weight is given to the unstable samples to balance the influence caused by the difference in the number of samples. In addition, a regular term is introduced into the loss function to control the complexity of the model and reduce over-fitting, thus adapting to various operating conditions of the power system. By comparing the difference between measured data and estimated data to detect bad data, the machine learning method is more intelligent than the traditional method. The research results show that the transient stability evaluation method based on incremental learning of support vector machine greatly reduces the learning time while maintaining the evaluation performance, and is a promising online learning algorithm for transient stability evaluation.
Cooling characteristics of two cooling systems applied in natural light plant factory in high temperature summer
Authors: Zhang Zhonghua , Zhong Yuqi , Meng Xiangzhen , Shi Xiaocheng , Yang Gukun , An Wenting , Tian Qinyu , Shi Huixian 
Published: April 2020

Abstract
In view of the extreme high temperature in the summer when the natural light plant factory runs, it is easy to cause the plant to die due to high temperature. The actual operation of the Shanghai Chongming Natural Light Plant Factory in the past two years is studied to explore various ways of cooling - water Energy-saving groundwater source heat pump cooling air treatment unit (ATU), wet curtain fan, etc. cooling characteristics in the semi-enclosed natural light plant factory in the summer high temperature weather. The results show that the typical high temperature typical day, the natural light plant factory of the water storage type groundwater source heat pump cooling ATU cooling system is 13.88°C lower than the average temperature of the natural light plant without the system. In high temperature weather, the natural light plant factory wet curtain fan system and water storage type groundwater source heat pump cooling ATU cooling system have better cooling effect, but the latter cooling effect is better, such as only the wet curtain fan cooling system The average indoor temperature of the natural light plant factory A5 is 30.88°C; the average temperature of the natural light plant factory A2 of the natural light plant factory A28 with only the water storage type groundwater source heat pump cooling ATU cooling system is 28.64°C, the average temperature of the natural light plant factory A2 without taking any cooling measures is 40.19°C.
A novel scheme for intelligent fault diagnosis of marine diesel engine using the multi-information fusion technology
Authors: Wang Sibo , Wang Jin , Wang Ruihan 
Published: April 2020

Abstract
Various parameters in the process of diesel engine operation contain a lot of information. Through data mining, the inherent information of these parameters can be mined out to solve the problems of inaccurate diagnosis and time-consuming. In this paper, a fault diagnosis scheme for the diesel engine is proposed based on the K-means analysis and the back propagation (BP) neural network. K-means is used to cluster the data and BP neural network is designed to diagnose the running state of diesel engine. Then, the fault diagnosis scheme is optimized by principal component analysis (PCA) to simplify the raw data, which are clustered by K-means and set as the input of the BP neural network to establish the fault classification model. Through the analysis and comparison of the results of the two diagnosis algorithms, it shows that the optimized algorithm can extract data features more effectively, improve the diagnosis accuracy, and reduce the diagnosis time.
The Heat Transfer Analysis for Distribution Channel of Platelet Nosetip
Authors: Nie Tao , Yang Kun , Zhao Jianhua , Liu Zhenming , An Shijie 
Published: April 2020

Abstract
The heat transfer model of difference in temperature is used in the heat transfer analysis for platelet nosetip. The temperature distribution of platelet construction unit and transpiration cooling medium is got by analytical solution. Hot dipping depth is used for range of influence. The results show that the maximum temperature and hot dipping depth decrease with transpiration flux increasing, and decreasing trend of hot dipping depth is slowing. Hot dipping depth and the maximum temperature increase with the heat flux on the wall increasing, and increasing trend of hot dipping depth is slowing. Temperature increasing trend of platelet construction unit in heat-affected zone is slowing with thermal conductivity of structural material increasing. The temperature change tendency is basically unchanged with the length of distribution channel increasing, but only heat-affected zone of platelet move some distance to the exit. So simply increasing the length of the distribution channel does not improve the thermal protective effect.
Research on Structural Optimization of Spiral Array Heat Exchanger Based on Exhaust Heat Recovery
Authors: Peng Pei 
Published: April 2020

Abstract
With the development and advancement of technology, modern industry has made rapid progress in improving the combustion performance of automobile exhaust heat in improving the combustion performance of automobile engines and reducing harmful emissions of automobile engines. This technology can not only improve the energy utilization of vehicle fuels. Efficiency can also reduce environmental pollution. The spiral array heat exchanger is an important equipment for waste heat recovery of automobile exhaust gas, which can fully recycle this waste heat energy. Therefore, this paper studies the structure optimization of spiral array heat exchangers, and plays an important role in the recovery of exhaust gas heat recovery, optimization of structure and enhancement of its comprehensive heat transfer performance. It improves fuel economy, saves energy and protects the environment. Great significance.
Supplier selection based on information visualization tools——Taking Z agricultural machinery company as an example
Authors: Yao Tianhui , Hou Hanping , Yang Jianliang , Yang Xiqing , Liu Xinlu , Li Dandan , Ren Hongzhi , Wang Yue , Li Xue 
Published: April 2020

Abstract
The development of economic globalization makes the cooperation relationship between enterprises and suppliers closer. How to optimize suppliers becomes a research hotspot. This paper studies the selection process and selection method of quotient evaluation indicators based on the analysis of supplier data by using information visualization tools. The multi-dimensional data and analytic hierarchy process are used to evaluate the supplier’s commercial value and product information. The example of z agricultural machinery company is used to verify the effectiveness and feasibility of the new scheme.
Two-dimensional plasma photonic crystal structure transmission characteristics
Authors: Zhang Junyi 
Published: April 2020

Abstract
This paper use the finite difference time domain (FDTD) algorithm to study the forbidden band characteristics of two-dimensional non-magnetized plasma photonic crystals. We analyse the obtained S-parameter from the perspective of frequency domain, and discuss the influence of the interlayer angle and distance of the photonic crystal, the polarization mode of the antenna and the plasma parameters on the band gap characteristics. The results show that when the photonic crystal has a certain plasma filling rate, different angles and distances between layers and different polarization modes can achieve modulation of transmission characteristics.
Measurement of the plasma density of tip gap discharge at atmospheric pressure by M-Z interferometry
Authors: Cui Lulu 
Published: April 2020

Abstract
In this paper, the plasma density in the lateral discharge of the tip gap at atmospheric pressure was measured by Mach-Zehnder interferometry. Based on the offset of the fringe picture, the maximum electron density of the plasma was calculated to be about 1.76 × 1018cm−3. At the same time, the spatial distribution of plasma electron density and the change of the highest electron density with the applied voltage across the tip were obtained.
A Novel Multilayer Conically Squeezed Giant Electrorheological Fluid Damper
Authors: Hu Yingyi , Pu Huayan , Sun Yi , Ding Jiheng , Wang Min 
Published: April 2020

Abstract
In this paper, a multilayer conically squeezed GER (giant electrorheological fluid) damper combined the characteristics of shear mode and flow mode is studied. Based on the theory of fluid mechanics, this paper established a simplified mathematical model of damper and had experiments to verify it. The result shows a good agreement and an effective isolation ability. With the simple structure, this damper has tunable ability of damping and stiffness to adapt to different application requirements.
Substation Load Characteristics and Forecasting Model for Large-scale Distributed Generation Integration
Authors: Gao Zhengping , Shi Jing , Li Hu , Chen Chen , Tan Jian , Liu Lixin 
Published: April 2020

Abstract
The large-scale access of distributed generation has a great impact on load forecasting in substation-area, which means the load curve in the substation-area cannot reflect the real load of users. Firstly, this paper considers the impact of distributed generation on the load curve, and proposes a load forecasting model based on data cleaning and deep learning in the substation-area. Secondly, considering the data missing during communication and transmission, the KNN algorithm is adopted to complete the missing data before the data input. And then, Pearson correlation coefficients are used for the correlation analysis of the input factors related to distributed generation, and the data is trained through Long-short Term Memory in deep learning. Finally, verified by load data of some substation-area in Jiangsu Province, the prediction model established in this paper has good prediction accuracy and stability.
Stability Evaluation Method of Grid Transient State Based on Deep Learning Technology
Authors: Chen Xinjian , Zhu Yilun , Hong Dongjian , Yu Jie 
Published: April 2020

Abstract
At present, with the size increase and complication of the grid, it has brought greater challenges to the stable operation of the grid; the author proposes a stability evaluation model of grid transient based on deep learning technology, which has high recognition speed and accuracy after being verified by practical examples.
Key Line Identification of Power Grid Based on Entropy Weight Method of Pearson Coefficient Index Selection
Authors: He Ming , Zhou Yanli 
Published: April 2020

Abstract
As one of the important infrastructure of the country, it is very important to identify the key links of the power network and protect them to prevent the blackout. Based on the theory of complex network, this paper proposes a comprehensive multi-attribute identification method for key nodes of power grid. Firstly, the Pearson correlation coefficient is used to select the evaluation index according to the topological characteristics of the power grid, then the entropy weight method is used to get the final decision matrix, and finally adopt the comprehensive method to calculate the order of the important lines in the power grid. In order to compare the advantages and disadvantages of different recognition methods, we compare the evaluation results of electrical method, and further verify the effectiveness of the proposed method in IEEE39 system.
Feasibility study of GIS vibration testing and diagnosis method
Authors: Qu Bin , Wang Yongning , Zhou Liansheng , Wang Kun , Wang Ziyue , Wang Jian , Chen Haowei 
Published: April 2020

Abstract
In this paper, the feasibility of the fault diagnosis method based on the vibration signal in GIS is studied through the experiments of the correlation between the discharge fault and the vibration signal and the propagation characteristics of the vibration signal in GIS. The concept of pulse interval frequency is put forward. According to the experimental data, it is concluded that there is a strong correlation between the interval frequency of GIS discharge pulse and the frequency of vibration signal. At the same time, the vibration signal has regular propagation characteristics when passing through the basin insulator, cavity and T-shaped structure. The above two points strongly support the vibration test method can be used for fault diagnosis of GIS.
Semi-automated construction of a knowledge graph with template
Authors: Wei Tangzhao , Jiang Ying , Wang Yue , Luo Yuming , Lin Weibin , Chen Zihao 
Published: April 2020

Abstract
The Internet has massive data and a large number of relationships describing various entities and entities. HTML pages with semi-structured and structured data are important data sources for building knowledge graph. This paper proposes to construct a knowledge graph based on a template semi-automatically and construct a lure template by filling the template as a data source to realize the domain knowledge graph by extracting the triple data in the multi-data source through the attracting template. And build an application platform to provide a domain knowledge graph, reduce human participation to achieve efficient construction of knowledge graph.