bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research status and developing trends of gas bearing in recent years
Authors: Zhou Quan , Zhang Yi 
Published: August 2021

Abstract
As one kind of support elements for rotational machines, gas bearings that use air or gas as lubricant, have many attractive advantages such as low power loss, wide work temperature range, high rotating speed and low maintenance cost. However, gas bearings also have some disadvantages including low carrying load at low speed, wear at start-stop procedure, not easy to predict bearing performance due to the complex bearing structure and so on.
The purpose of this paper is to explore the research status of gas bearing based on the Web of Science datasets and related tools, meanwhile, the developing trends emerged in gas bearing are further studied. The results shows that: 1) the top ten productive countries published 85% papers in the studies of gas bearing; 2) there are eight research clusters emerged in the topics analysis visualization and the top three largest clusters are #1 metal mesh foil bearing, #1 bump-type foil bearing and #2 aerostatic thrust bearing respectively; 3) Comparing to other research topics, foil bearings (metal mesh type and bump type)and aerostatic thrust bearing may be further explored in the future. This study presents intuitive state of research of gas bearings and proposes a fresh perspective for relevant researchers to perform research in the future.
Study and Optimization of Full Flow Test Method for Core Safety Injection System
Authors: Lin Jiabing , Wan Jie , Li Junyong , Gao Xiang , Bai Jinchuan 
Published: August 2021

Abstract
Due to the high pressure safety injection full-flow test of the nuclear power plant core safety injection system (RIS), there are problems such as the limit of the pump starting condition, the “blind adjustment” of the valve flow, the test logic defect, and the number of unqualified tests, etc. This research has improved the test principle and operation steps of the RIS high pressure safety injection full-flow periodic test, and describes in detail the comparison between the new scheme and the existing RIS high pressure safety injection full-flow test scheme, and the actual verification effect. The research results show that the optimized RIS high pressure safety injection full-flow test has the advantages of simple logic, easy operation, high qualification rate, and short test period, and it is worthy of popularization and application in this reactor type.
Fault analysis and optimization technology of HP bowl type medium speed coal mill
Authors: Jie Dou 
Published: August 2021

Abstract
HP type medium speed coal pulverizer produced by Shanghai heavy machinery works has been widely used in recent years, with common faults in operation, short maintenance cycle and heavy task. In order to facilitate the staff to complete the maintenance task more quickly and with higher quality, this paper introduces the common faults in HP type bowl type medium speed coal pulverizer in detail from the reality, and analyzes the causes, At the same time, part of the performance optimization scheme of this type of coal mill is introduced.
POTDR based Power Communication Optical Cable Anti External Force Damage Monitoring System
Authors: Huang Zhicai , Yuan Yongshi 
Published: August 2021

Abstract
The traditional system has low recognition accuracy for the vibration signal of optical cable damaged by external force. Therefore, a power communication optical cable anti external force monitoring system based on potdr is designed. In terms of hardware, the modular structure of the system is constructed, the potdr distributed optical fiber sensor and power supply circuit are designed, and the vibration signal of the optical cable is collected. In the aspect of software, optical fiber communication transmits vibration signal, denoises and filters the signal, extracts the state characteristics of optical cable, and monitors whether external force damage occurs. The experimental results show that, compared with the conventional system, the designed system improves the identification accuracy of the vibration signal of the optical cable damaged by external force, and ensures the operation and maintenance management level of the optical cabl.
Automatic Generation System of Distribution Network Switch Test Scheme based on Topology Analysis
Authors: Lei Jiaxing , Guo Yaosong , Xu Zhongyuan , Luo Dashi , Wang Rui 
Published: August 2021

Abstract
With the continuous improvement of the automation level of the distribution network, more and more switches can be controlled remotely. The reliability of switch remote control directly affects the stability of the entire distribution network system, so it is very important to test the switch regularly to ensure that it can be operated remotely in an emergency. At present, the switch test scheme is mainly artificially generated, which is very inefficient, and the review process is simple, which is easy to cause safety problems. This paper proposes an automatic generation system for switch test scheme based on topology analysis, which greatly improves the efficiency of scheme generation, and adds multiple roles for review, which improves the accuracy of the scheme. This system has been applied in practice and achieved good results.
A Non-intrusive loading monitoring method based on Attention mechanism and denoising-Autoencoder
Authors: Duan Qiuyu , Zhang Fei , Ren Xiaoying , Gao Lu 
Published: August 2021

Abstract
This paper built denoising-Autoencoder (dAE), Attention-dAE and transformerbased regression models based on Non-Intrusive Load Monitoring (NILM) and Deep Learning (DL) methods, and uses them in UK-DALE[1] proving on the dataset, the verification results show that the recognition accuracy of adding Attention mechanism and dAE is significantly improved, and the model parameters are greatly reduced.
Research on Grounding Fault of 12-phase Rectifier Generator in Parallel Operation
Authors: Lin Cong , Ye Zhihao , Xiao Han , Wu Benxiang 
Published: August 2021

Abstract
12-phase rectifier generators have been widely used in ship power systems, since they can provide high quality DC voltage. In view of the safety and reliability requirements of power supply during ship navigation, the DC side grounding faults of two paralleled 12-phase rectifier generators are studied through theoretical analysis and simulation analysis. First of all, the DC voltage expression of the 12-phase rectifier generator under normal condition is derived. Secondly, the zero sequence circuits of the DC side grounding fault are studied, the DC voltage is calculated by the phasor method, the DC output current of generator is analyzed by the zero sequence circuits. Finally, the correctness of the analysis method is verified by the simulation model.
Fast detection method of transmission line defects and faults based on airborne laser LiDAR
Authors: Lei Shi , Heng Yang , Lianggang Xu , Yuan Yang , Di Wang , Xianzhe Long , Jian Zhao 
Published: August 2021

Abstract
In view of the fact that it is difficult for transmission line operators to find transmission line defects and accurate location information in time, and in the face of the discovered transmission line defects, they are unable to quickly and accurately return detailed defect information to provide urgent repair to provide rectification solutions, etc., this paper proposes a fast transmission line defect fault detection method based on airborne laser LiDAR, and compares and analyzes it by using laser point cloud data in different periods. It is found that there are some defects such as the interruption of the transmission line channel and the sinking of the tower foundation. Using laser point cloud data, the tilt detection and deformation of poles and towers are found, and large-scale topographic maps are quickly generated to quickly restore the three-dimensional channel environment of transmission lines, so as to provide auxiliary decision-making for transmission line defects and fault rectification schemes. The digital and scientific management of transmission line defects and equipment fault detection are realized through laser point cloud.
Emission Characteristics of Hybrid Electric Bus During Peak Period Based On Remote Monitoring
Authors: Jin-chao Chen , Xiao-wen Zhang , Su Li , Song-bo Qi , Xiao-qing You 
Published: August 2021

Abstract
Based on the OBD remote monitoring system, the real-time data of Tianjin 607 bus is collected, and two representative groups of data are selected for analysis. The results show that the vehicles start and stop frequently during peak period, the frequency of electric motor use increases from 27.72% in off-peak period to 53.72% in peak period, the average driving speed is faster than usual, and the drivers tend to drive more intensely for catching up time. Under the same working conditions, the frequency of electric motor use is positively correlated with the emission reduction benefits brought by the use of hybrid electric vehicles. Under different road conditions, especially in the peak operation, the exhaust temperature is low, which has a greater impact on the actual emission reduction benefits of the electric motor. The key to fundamentally alleviate the emission problem of bus in peak period is to improve the vehicle operation conditions and the conversion rate of SCR system.
Precipitation Simulation from the Cumulus Convection Parameterization Schemes Based on the WRF Model in the Weihe River Basin, china
Authors: Liu Yinge , Cheng Aifang , Hu Haonan 
Published: August 2021

Abstract
Two cumulus convection parameterization schemes, i.e., Kain-Fritsch (K-F) and Grell-3 based on the V4.1.2 Weather Research and Forecasting (WRF) model, were used to simulate the summer precipitation in the Weihe River Basin using hourly precipitation data at the resolution of 5 km and 2 km. the precipitation experiment results at different resolution were compared and analyzed. The root square error and correlation coefficient were used to verify and evaluate the simulation results. The results show that in K-F and Grell-3, the two cumulus model simulations with a resolution of 5 km can explain the spatial distribution pattern of precipitation and the diurnal variation process, and the experimental simulation results are consistent with the actual observations. The summer precipitation simulation in June, July, and August is highly sensitive to the two cumulus parameter schemes of K-F and Grell-3. The simulated precipitation value is higher than the actual value, and the root mean square errors (RMSEs) of K-F and Grell-3 schemes are 5.49-13.29 and 5.69-10.88, respectively. In terms of precipitation simulation, Grell-3 scheme is better than K-F scheme, especially in areas with heavy rainfall. When the resolution is increased to 2 km, the regions with heavy precipitation can be displayed more finely. The influence of water vapor flux and vertical velocity changes on precipitation in the Weihe River is analyzed from two aspects, i.e., water conditions and atmospheric instability. From the simulation results by the K-F scheme, the vertical velocity fluctuations are unstable and strong in the convective area, and the convective rainfall is relatively high. From the simulation results by Grell-3, the vertical velocity is large and increased rapidly, which is conducive to the generation of large-scale heavy precipitation. Both schemes are very sensitive to the simulation of water vapor transport and vertical velocity. This study provides a basis for the research on the adaptability of regional precipitation simulation.
Extraction and Analysis of Temperature data from COSMIC of Pacific Occultation
Authors: Shi Zhuoya , Zheng Wei 
Published: August 2021

Abstract
With the increase of human demand for natural climate research, climate monitoring technology has been greatly developed, and the occultation technology proposed in the field of surveying and mapping provides a more accurate and effective data source for meteorology research. With the destruction of the earth’s ecosphere by pollution, the global climate change has a great impact on human life, so the research on meteorology has been paid more and more attention. The data obtained from GPS radio occultation observations have also become one of the key data sources to record the temperature changes of the atmosphere in tropical regions. The extraction and analysis of temperature data in the western Pacific are very essential. At the same time, it plays an crucial role in China’s climate prediction and disaster warning. It is hoped that by reading the occultation data of the western Pacific in 12 months in 2014, and drawing the isoline map of the lunar season and seasonal temperature values, the change law of global and western Pacific temperature with longitude, latitude and altitude can be analysed.
Binary classification of single qubits using quantum machine learning method
Authors: Yi Teng , Wang Jie , Xu Fufang 
Published: August 2021

Abstract
Machine learning can make predictions on unseen data by extracting information and constructing algorithms and statistical models from the training data, which is highly desirable for speech recognition and computer vision. Quantum computing harnesses the phenomena of quantum mechanics realizing parallel computing, which could solve certain computational problems, such as RSA encryption significantly faster than classical computers. Quantum machine learning is reasonable to enable machine learning faster than that of classical computers by utilizing quantum operations. Binary classification is a typical quantum machine learning task applied to single qubits. Here we present a binary classifier for regions. Firstly, we sample two sets of quantum data points located in the X-Z plane of the Bloch sphere randomly. Then we utilize a single parameterized rotation gate and measure the qubits along the Z axis. We train the hybrid model combined by quantum mdoel and classical Neutral network and regard the corss entropy the predictions of the classical Netural network and labels as the loss function. Based on the above, we present the results of the trained hybrid model to classify new quantum qubits.
Multi-channel Feature Extraction and Super-Resolution Reconstruction of Remote Sensing Images
Authors: Zhang Zheng , Zhang Jiabin , Liu Chang’an 
Published: August 2021

Abstract
Super-resolution reconstruction is an imaging method to improve image resolution. It refers to reconstruct a clear high-resolution image from a low-resolution image. High-resolution remote sensing images can provide more detailed information and higher density, but in the field of remote sensing, because of the limitation of the hardware and vast distances, the remote sensing images are fuzzy sometimes. To facilitate subsequent tasks, this paper proposes a multi-channel feature extraction generative adversarial remote sensing image reconstruction method. According to the characteristics of remote sensing image, a generator is designed, which adds Laplace operator to enhance the edge information of the image, and uses multi-channel feature extraction, which not only enhances the ability of feature extraction but also reduces the number of parameters. In this paper, the super-resolution reconstruction task is carried out based on the 2X magnification factor, and the experimental results are evaluated on SET5/14 and NWPU-RESISC45 dataset. The experimental results show that the images generated by this method have a higher detailed texture and better super-resolution reconstruction effect of remote sensing images.
Research on Feature Enhancement for Small Object Detection
Authors: Tang Yuyao , Gu Bingxue , Jiang Bo 
Published: August 2021

Abstract
Small object detection is a challenging research direction in the field of computer vision, due to the low resolution and restricted information of small objects. At present, the general detectors only use appearance features to classify and locate objects, but they are prone to failure under the interference of background noise. On the other hand, the detector based on deep neural network has excellent performance on large scale, but it is difficult to extract enough information of small objects. This paper proposes a feature enhancement network (FENet), which contains two modules. The Residual feature enhancement (RFE) module combines residual learning and sub-pixel convolution to improve the resolution of input small objects and remove image noise. The Attention Feature Pyramid (AFP) module integrates the feature pyramid and attention mechanism, which can extract context information and filter redundant context information. At the same time, considering the imbalance of the contribution of large and small objects to the loss function during the training process, a feedback-driven function is introduced to solve the problem of uneven loss under multiple scales. Experimental results show that compared with the existing small object detection methods, our method has better performance.
Wind characteristic in the complex underlying terrain as studied with CALMET system
Authors: Liao Rongwei , Fang Xiaoyi , Liu Huaiyu , Zhou Rongwei , Zhang Lei , Zhu Yuzhou , Zhang Dongbin , Meng Fanchao 
Published: August 2021

Abstract
In the present study, the wind data during two synoptic processes observed by the surface wind tower in the Tibetan Plateau and the high spatial resolution model data simulated by CALMET were be evaluated, the horizontal and vertical distribution characteristic of the model wind data around the region of the wind tower point and the reference point were be analysed. Results showed that the wind observation data during the two processes in the nearsurface boundary were a well consistency. The horizontal distribution of the wind fields were consistent at the moment of the maximum wind speed during the two processes. The trend of the ten minute mean wind speed were upward with time variations. The air was flowed from the mountain ridge to the mountain valley over the complex region. The vertical distribution of the wind speed had more relevant that the correlation coefficient were 0.6811(α = 0.05) in the observation tower point and 0.8304 (α = 0.05) in the reference point between 16:00 pm Jan 30th and 16:00 pm Jan 31st. The advantages of using the advanced numerical models will be reflected over the extremely complex underlying terrain where the lack of observation stations.
Strategy for Enhancing Fairing Air Conditioning Security Capacity in the On-Time Launch of Chinese Mars-1 Exploration
Authors: Junxin Zhang , Wenan Zhong , Zhongye Wu , Laping Xu , Gang Li , Chuang Zhang , Xiaojie Zhang , Yuchao Wang 
Published: August 2021

Abstract
For the launch of Chinese Mars-1 exploration in a coastal spaceport at noon, summer, there are issues such as big fairing size, complex fairing layout and uncertain flow field of fairing. The author conducted analysis of fairing air conditioning security by thermodynamic modeling calculation and CFD simulation and proposed specific improvement measures to secure on-time launch according to the calculation analysis conclusions. Special test verification was conducted after the carrier rocket transfer. The improvement measures were proven to be effective. During mission launch, the fairing environment security is good. After fairing air conditioning decoupling, the fairing inside temperature rise is within the required scope, ensuring on-time launch of Mars exploration.
TODA Passive location for UAV based on chicken swarm algorithm
Authors: Dong Zhiyuan , Wang Pei , Guo Ying , Liang Qinqin , Dong Yue , Chen Lve , Lu Weitao 
Published: August 2021

Abstract
Accurate positioning of drones is one of the key technologies for drone management and security. Aiming at the characteristics of the active emission of electronic radiation signals during the operation of UAVs, the passive positioning method based on multi-station time difference of arrival (TDOA) is studied, and the problem of solving the nonlinear equation of time difference of arrival passive location is transformed into an optimization problem of seeking the extreme value of the time difference likelihood function. The chicken swarm algorithm is used to search for the best positioning coordinates. The simulation results show that the chicken swarm algorithm can quickly and stably converge to the target position in time difference of arrival passive location system.
Study on appearance and electrical properties of reused solar modules
Authors: Wang Xiaojing , Huang Xiaoli 
Published: August 2021

Abstract
A test platform for reused solar modules was established in Wuhan in order to study the appearance changes, aging problems and degradation rate in electrical properties of the reused modules. The photovoltaic modules were mono-Si modules produced by Siemens in 1996. It was found that there was moisture at the edge of the modules. The aging of tin-coated copper strip was obvious, and there was blackening phenomenon. There were many white spots on the solar cells around the tin-coated strip, and the solar cells turned blue locally. The average annual power attenuation rate of different modules varied greatly, but it was mainly related to the increase of series resistance of modules. The integrated average annual power attenuation of PV modules was about 3.59% during 4 years.
Classification of geotextiles and analysis on tests for their tensile properties
Authors: Xu WEili , Huang Wentao , Cai Yundong , Tao Junru 
Published: August 2021

Abstract
Geotextiles are classified into various types which are Synthetic staple fibers needle-punched nonwoven geotextiles, Synthetic filament spunbond and needle-punched nonwoven geotextiles, Synthetic filament woven geotextiles, Slit and splitfilm yarn woven geotextiles, Plastic woven film yarn geotextile based on different weaving methods and property parameters. The applicability of wide-width strip method and narrow strip method for testing the tensile properties is compared and analyzed.
Factors affecting the formation of heterocyclic amines in sauced pork
Authors: Jiayun Kang , Haibin Li , Yu Hao , Siyu Shi , Ting Li , Wenhui Liang , Meixia Pang , Jinghua Qi , Fang Wang 
Published: August 2021

Abstract
To assess the factors affecting the formation of heterocyclic amines (HAs) in sauced pork, an orthogonal experiment about fat content, braising time and the number of braising times was designed, and the effects of common seasonings and seven Chinese spices on HAs formation were conducted. It was found that higher fat content, increasing braising time and the number of braising times would promote the formation of HAs. Sugar, salt and spices exhibited a reduction in HAs formation in sauced pork. 0.01% of clove could inhibit the formation of HAs by 36.21%. Notably, the inhibitory effect on HAs was significantly correlated with the concentration of spices.