bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of basic motion on dynamic balance accuracy
Authors: Xiao Sa , Cui Huanting , Qin Mengtong , Chen Hong 
Published: June 2020

Abstract
Due to the complex environment of rotating machinery, rotating machinery is inevitably affected by environmental excitation. The basic motion excitation in environmental excitation will affect the dynamic response of the rotor. In order to study the impact of basic motion on the judgment of the rotor imbalance, the establishment of rotor motion is adopted. Differential equations and finite element simulation methods for dynamic equilibrium experiments. The results show that when the frequency of the basic motion excitation is the same as the unbalanced excitation in the system, the basic motion excitation will affect the amplitude and phase of the power frequency, and then affect the judgment of the rotor imbalance amount, resulting in a certain balance error and impact. Dynamic balance effect, but unlike unbalanced excitation, the direction of the force generated by the basic excitation will not change, so when the vertical amplitude and phase of the generated force of the excitation is used as a reference, the impact caused by the basic motion can be avoided.
Study on the Pipeline Fragility Appraisal Indicators Affected by landslide Based on Numerical Simulation
Authors: Han Bing , Fu Qiang 
Published: June 2020

Abstract
The completeness of pipelines is tremendous influenced by landslide in unfavorable geological conditions. The quantifying appraisal techniques is a valid means for risk management of pipelines affected by geological disasters. By using the finite element method to simulate going steadily downhill, mechanics characteristic of pipeline and pipe/soil interaction with changes in physical dimension consisted of the landslide area (LA), landslide thickness (LT), pipeline length in landslide (PLL), calibre (CA) and wall thickness (WT) of pipeline, the fragility appraisal system of pipeline affected by landslide can be constructed. The regular pattern of stress and strain variation of pipeline affected by landslide can be acquired with number analysis and computeration. The results show that the physical dimension of landslide and the PLL have strong effect on pipeline fragility, and the effect increases with increasing of the above indicators; the WT has a smaller role of pipeline fragility and the effect can be ignored. In the end, the weighting factors and marks of every fragility appraisal indicator can be given on the basis of the above conclusion.
Research and Design of a New Rotary Blast Dryer
Authors: Bo He , Shuai Cui , Hao Li , Liu Shuning 
Published: June 2020

Abstract
The vertical shock screening and drying machine is mainly composed of a drying box located at the upper part and a screening box body located at the lower part for drying and sieving wet materials. The device designs a superheated steam recovery device to collect the superheated steam during the drying process. There are two main applications for collecting collected hot water vapor. The first is that passing it into the heating box to heat the filling chamber in the drying box. And the second is preheating cold air to reduce the amount of heating energy. An LC shocking device is arranged in the drying box to make the wet material uniformly distributed on the material plate. And at the same time, it can promote the heat transfer area between the wet material and the hot air, thereby improving the energy utilization efficiency of the system. Using a porous grading sieve, the lower screening device can screen materials of different particle sizes at one time. The vertical shock screening and drying machine can effectively improve the utilization rate of energy and the emission of pollutants in the drying process. Thereby, it can achieve the energy saving and the emission reducing.
Study on drilling mechanism of combined bit in hard coal seam
Authors: Li Yan , Shi Wenbao 
Published: June 2020

Abstract
Borehole pressure relief can effectively reduce the accumulation of elastic energy of working face and surrounding rock mass, and reduce the regional impact risk. But in hard coal seam, drilling jam, holding and other dynamic phenomena often occur in drilling, which seriously reduces drilling efficiency. Therefore, aiming at the problem of poor coal breaking effect of traditional geological drills in hard coal and rock, the coal breaking characteristics of new type combined drills are studied by theoretical analysis and numerical simulation. Considering the traction, rotation and impact movement in practical work, the trajectory model of combined drills is put forward. The coal breaking characteristics of the two kinds of drills are compared and analysed from the aspects of the difficulty of coal breaking and the force fluctuation of the drill bit. The results show that the combined bit can reduce the difficulty of coal breaking by 50% when its hardness value is twin 6, and the combined bit can reduce the force of nearly 7000N in hard coal and rock in the fluctuation of force acting on the geological bit. Therefore, the study of coal breaking characteristics of the combined bit can effectively improve the special rock mass such as broken hard coal and rock.
Summarization of Vehicle Position and Azimuth Fast Determining Technology
Authors: Yang Chen , Cai Yuanwen , Xin Chaojun , Wang Huaipeng , Shi Meiling 
Published: June 2020

AbstractTo improve the rapidity, accuracy and autonomy of vehicle position and azimuth determining is an important theme in the development of land launch equipment. Based on this topic, a comprehensive summary is made of the theories and methods related to vehicle position and azimuth determining technology, including autonomous integrated navigation, initial alignment technology, error estimation and compensation technology, observability analysis method, and nonlinear filtering method. By summarizing and analyzing the related progress in recent years, this paper points out the existing problems in the research, and probes into the development direction of vehicle position and azimuth fast determining technology.
Development Status of High Voltage Insulation Technology
Authors: Sun Jiaqi 
Published: June 2020

Abstract
High-voltage insulation technology is a technology related to the development, selection, design, manufacture, operation and maintenance of high-voltage electrical equipment insulation structures. In high-voltage electrical equipment, insulation structures are used to separate conductors with different potentials, so the insulation structure is an important part of electrical equipment. With the increase of power consumption and the increase of transmission distance, the maximum voltage level of the power system will be further increased, and it is becoming more difficult to solve the insulation problems related to high-voltage electrical equipment. This article gives a brief description of sulfur hexafluoride gas insulation, power cable and power transformer insulation technologies. In addition, new insulation materials and improved manufacturing processes can be introduced to improve the electrical insulation strength.
Research on Security Defence System of Cooling Water Source in Nuclear Power Plant
Authors: Wu Qiaojun , He Guangchu , Wen Hongyong , Lin Xinpeng , He Shengliang , Chang Xincai 
Published: June 2020

Abstract
Nuclear safety is the lifeline of nuclear power development, the premise and foundation of nuclear power development. The safety of cooling water source is an important part of nuclear safety. The safety of cooling water source of nuclear power plant is related to nuclear safety, and it is the final heat sink of nuclear power plant, which undertakes the safety function of reactor residual heat export. Littoral nuclear power plants take seawater as the cooling water source. When the solid suspended solids, floating objects and marine organisms in the seawater exceed the filtering and cleaning capacity of the cooling water filtering equipment, the water intake or filtering equipment will be blocked and unable to provide the required cooling water, which will cause the cooling water source safety event. In view of these problems, this paper proposes to optimize the cooling water source security defence system in depth, improve the cooling water source risk monitoring and early warning system, establish the cooling water source overall status monitoring platform, and improve the emergency response and unit control capacity of the power plant.
Parallel Stability Analysis of Generator and Inverter in Independent Micro grid
Authors: Gao Mingyu , Liu Jinning 
Published: June 2020

Abstract
In the independent micro grid system, the generator set and the new energy grid connected inverter are both important components of the system. To solve the problem of stability of the parallel of the inverter and synchronous generator, this paper studied the droop control and the virtual synchronous machine control principle, analyzed their similarities and differences and essential characteristics; established the small signal model of the parallel system of the inverter generator set, analyzed the stability of different structural systems. It Comed to conclusion that the stability of the virtual synchronous machine control in the parallel system was stronger, and the system simulation model was built by Matlab / Simulink software to verify the theoretical analysis results.
Renewable Energy Generation and Load Classification based on H-K compound clustering algorithm
Authors: Sun Yong , Li Zhenyuan , Li Dexin , Liu Chang , Wang Shengyan , Qiu Fengkai , Zeng Ming 
Published: June 2020

Abstract
In this paper, the uncertainty of diesel generator (hereinafter referred to as DG) output and load demand is studied by multi scenario analysis. Firstly, this paper studies the timing characteristics of DG power generation and load demand, and describes the annual and daily distribution of photovoltaic power generation, wind power generation and load demand. Then it introduces the method of multi scene analysis, describes the process of dealing with the uncertainty in multi scene in detail, and generates enough scenes through the density function of classification probability to get the probability of each scene. Finally, H-K compound clustering algorithm is used to solve the above problems. The scale scene is compressed to get a typical “planning scene”.
Research on the Coordinated Scheduling and Development of Renewable Energy Power Generation and Nuclear Power
Authors: Duan Lili 
Published: June 2020

Abstract
From 2016 to 2017, China experienced a considerable degree of wind abandoning and light abandoning. The average utilization hours of nuclear power decreased significantly and the power loss of nuclear power was serious. In regions where clean energy consumption is limited, the optimal scheduling and coordinated development of renewable energy and nuclear power will be a problem for some parts of China. According to China’s current energy-saving power generation scheduling method, wind power and photovoltaic power generation scheduling ranking before nuclear power. To maximum benefits of the whole society as a starting point, from the economic, environmental protection, power grid friendly, safe and international experience, analysis of wind power, solar and nuclear power scheduling sequence comparison, suggest the authorities to properly optimize existing power generation scheduling order, will arrange before the wind, nuclear power unit scheduling order also suggested that nuclear power provinces in the development of clean energy planning, the reasonable rhythm control of wind power development, facilitate clean energy given solution.
Excavation and support construction of rock wall crane beam layer in underground powerhouse of a pumped storage power station
Authors: Chen Jie , He Yi 
Published: June 2020

Abstract
Rock wall crane beam construction is the focus and difficulty of underground powerhouse construction. The quality of its excavation molding will directly affect the operation safety of the plant bridge crane. This article introduces the excavation procedure of rock wall crane beam for the underground powerhouse system engineering of a pumped storage power station And method, anchor rod construction, net hanging, and spraying construction have achieved good results, and have certain reference value for excavation and support construction of rock wall crane beams in similar projects.
Study on Energy Coordination Mechanism of Micro Photovoltaic Grid Connected Inverter
Authors: Zhang Enmu , Shen Yong , Wang Wenbin , Feng Peilei , Xu Tianqi 
Published: June 2020

Abstract
In this paper, the non isolated grid connected inverter control strategy is adopted. The simulation model of photovoltaic grid connected inverter is built in MATLAB. Realize the same frequency and phase of grid connected current and grid voltage, the sine degree of grid connected current waveform is better, and realize the islanding detection function. In the experiment platform, the control idea is further verified, and the simulation is proved to be correct.
Reactive power optimization of AC and DC system based on improved genetic algorithm
Authors: Ren Lei , Zhang Jian 
Published: June 2020

Abstract
In the context of the rapid development of DC transmission, this paper studies the multi-objective reactive power optimization of AC and DC transmission systems. By studying the relevant basic knowledge, it provides a theoretical basis for studying reactive power optimization of AC-DC distribution networks. This paper provides an improved genetic algorithm that uses node voltage offset and total active network loss as two objective functions. A fast non-dominated sequencing genetic algorithm with elite strategy NSGAII is applied to the multi-target reactive power of AC and DC systems. During the optimization, a corresponding reactive power optimization program was written, and the feasibility of the proposed method was verified by an example of the IEEE 9-node system.
Research on Statistical Model of Japanese-Chinese Name Translation for Japanese Kana
Authors: Yu Xiaoling , Liu Xin 
Published: June 2020

Abstract
In view of the lack of bilingual resources in Japanese-Chinese translation, and the naming entity of Chinese character naming entities, especially Japanese pseudonyms, it is difficult to use, so the Japanese-Chinese pure pseudonym translation is a statistical translation model. The model has been applied so far and there have been many problems. The first is limited by the size and quality of the parallel corpus, and the second is the lower accuracy of the translation. Based on this, the paper proposes a statistical model of Japanese pseudonymous Japanese name translation based on inductive learning method. This method can extract Japanese and Chinese named entities from Japanese and Chinese corpora, and convert them into Roman alphabet and Pinyin sequence. Example screening after similarity calculation. Then, the instance-based induction learning method is used to automatically obtain the Japanese-Chinese transliteration rule base of the named entity, and iteratively reconstructs the transliteration rule base through feedback learning. Through experimental research, it is found that the Japanese-Han name translation statistical model method for Japanese kana is simple and efficient, and the translation accuracy is overcome while overcoming the dependence on bilingual data.
Research on Fabric Image Retrieval Method Based on Multi-feature Layered Fusionon
Authors: Ji Yunrong , Wang Weidong , Lv Yamin , Zhou Weirun 
Published: June 2020

Abstract
In recent years, with the maturity of computer technology and the increasing development of Internet technology, online transaction has become an important and popular sales method. As a necessities of life, clothing accounts for a considerable proportion of online transactions. Whether it is clothing manufacturers buying fabrics, or customers buying clothing online, they rely on fabric images on the Internet to browse, compare and select satisfactory products. This method of manual comparison is both time consuming and error prone. To effectively manage and use the fabric, it is very important to establish a fabric image retrieval system. The variety of fabrics and various styles, and the fabric image itself has the characteristics of large amount of data and large amount of information. The traditional retrieval method cannot achieve fast and accurate retrieval of fabric images. This paper proposes a retrieval method based on multi-feature fusion, which can accurately analyze the characteristics of fabric images. Experiments show that the using this method to retrieve fabric images can achieve good results.
Multilingual Recognition Based on Neural Network with High Recognition Degree
Authors: Jiang Yanhong , Zhan Xuegang , Lan Yixiao 
Published: June 2020

Abstract
Language recognition has become an important branch of natural language processing. Due to the interference of out of vocabulary words and the same words in different languages, it has been a challenging task to accurately identify language categories with high similarity. In this paper, N-gram is combined with word2vec to process the data, MLP and CNN models are selected for improvement and experimental analysis. The experimental results show that the data processing and model training of 20 kinds of highly acquainted languages are used in the above-mentioned way, which reduces the dependence of the model on the size of the data set and the length of the text, the accuracy of the model detection between the languages with high recognition degree is improved, and the robustness of the language recognition model on different data sets is enhanced, with the accuracy rate being over 97.
A Wearable and Portable Real-Time Control Gesture Recognition System for Bionic Manipulator
Authors: Cao Tianao , Liu Dan , Wang Qisong , Bai Ou , Sun Jinwei 
Published: June 2020

Abstract
The dexterity and coordinated movement of the hand play a very important role in people’s daily life and interpersonal communication. For patients with hand amputation, there are many inconveniences in life. However, prosthetic limb can help them to carry out daily life in accordance with their own intention to meet the basic grasp and interpersonal gesture needs of daily life, which can greatly improve the quality of life of patients. The bionic manipulator is such a humanoid prosthetic limb for the rehabilitation of amputees and is controlled by the surface electromyography (sEMG) signals on the surface of the human body. In this paper, a wearable and portable gesture recognition system based on pattern recognition algorithm is established to control the bionic manipulator in real time. We enhanced the accuracy in each step of signal acquisition and processing. By analyzing the mechanism and characteristics of sEMG signals, we determined the gestures to be identified, the areas of muscle, the number of electrodes, and the placement positions. Our self-developed acquisition device was used to acquire 4-channel forearm sEMG signals and data preprocessing, window sliding, feature extraction, gesture classification were conducted.
Risk Analysis for Railway Signaling Safety Data Network Based on Extend Bayesian Attack Graph
Authors: Liao Yuanyuan , Wang Jian , Tian Kaiyuan , Wang Xuyu , Cai Baigen 
Published: June 2020

Abstract
The railway signaling safety data network is a key network to ensure the safety of train operation and improve transportation efficiency. Its information security is closely related to the safe and efficient operation of trains. This paper proposes an extend Bayesian attack graph model for risk analysis of railway signaling safety data network. Based on the traditional Bayesian attack graph, the model introduces the protection node, and describes the causality among network attack, protection and network state through the Bayesian network. First of all, based on the analysis of the vulnerabilities and possible malicious attack paths in the railway signaling safety data network, the extend Bayesian attack graph model is established with the system functional safety accidents as the target nodes. Then calculate the probability of functional safety accidents by Bayesian network, and combine the impact of different accidents to evaluate the risk of system information security. In addition, according to different attacks and the implementation of different protective measures, evidence node state can be set up, and the extend Bayesian attack graph model is able to use Bayesian inference to analyze the system risk.
Research on Green Logistics Scheduling System of Textile Vehicle Automatic Guided Vehicle
Authors: Wang Chenxi , Wang Zhen 
Published: June 2020

Abstract
With the rapid development of science and technology, China’s modern manufacturing technology has developed and progressed rapidly, and the degree of automation of intelligent production workshops has gradually increased. Enterprises are facing huge challenges in path optimization and energy conservation and emission reduction. This paper mainly studies the problem of AGV green intelligent logistics scheduling in textile workshops. First, an AGV logistics scheduling optimization model with the goal of reducing AGV energy consumption and optimal AGV path is established, and then an improved genetic particle swarm optimization algorithm with task sequencing as the constraint is proposed. Take the actual scheduling data of a textile workshop as an example to verify the method in this paper. From the calculation results, the AGV logistics scheduling model proposed in this paper can better simulate the energy consumption problem of AGV green scheduling. The improved genetic particle swarm algorithm proposed has a better optimization ability and a faster speed in solving such problems. Speed of convergence.
Preparation and Management of In-service Inspection Schedule Program in Nuclear Power Plants
Authors: Li Tian , Xue Donglin , Yan Hai , Yin Qin 
Published: June 2020

Abstract
In-service Inspection (ISI) schedule program for nuclear island equipment was of the important part of ISI program file system in nuclear power plants (NPPs), which acted as a connecting link. Based on ISI rules for the mechanical components of PWR nuclear islands (RSE-M) and the plant ISI general program, the preparation method for schedule program of CPR1000 units were presented. It focused on the analysis and discussion of the existing problems during the preparation, upgrade and management process and some targeted suggestions were put forward. It may lay a foundation for a further optimization of the ISI program file system and the smooth implementation of the ISI activities.
Research on the Application Scheme of Air-conditioning Load Regulation for Peak Shifting in Power Grid
Authors: Zhou Xu , Li Siwei , Tian Shiming , Luan Kaining , Yue Liang , Liu Xiaodan 
Published: June 2020

Abstract
With the growth of the national economy and people constantly improve the level of electricity load has maintained a faster, higher growth, the growing impact of the growth of the air conditioning load on the power system economic operation of power supply and demand balance. The grid load clipping the air conditioning load regulation, we design a smart grid shift peak air-conditioning load regulation. The article describes the grid load characteristics of the current economic situation, the load control for the different forms of communication networking chip design and intelligent centralized control of air conditioning load platform design, also described the entire system of communication networking solutions and peaking strategy.