bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulation Analysis of Exothermic Powder in Riser Area on Inner Quality of Steel Ingot
Authors: Yadong Xu , Yanan Wang , Wen Zhang , Ting Fei , Yong Zhang , Guangbing Zhang 
Published: November 2019

Abstract
15t steel ingots of different amount of exothermic powder were under computer simulation analysis by casting simulation software with the distribution of shrinkage cavity predicted. The results showed that, with increasing adding of exothermic powder, the final solidification high temperature area moves from the main body of the ingot onto the riser area, so that the riser can feed the shrinkage cavity very well. The simulation result agrees with validation experiments very well. It indicates that the optimized adding suitable amount of exothermic powder in riser area can effectively eliminate the shrinkage cavity, and enhance the steel ingots’ quality and the ration of utilization.
IGBT junction temperature prediction method based on improved artificial bee colony algorithm for optimizing SVR
Authors: Liu Jiacheng , He Yigang , Zhou Jianbo , Ni Huadong , Zhang Zhongtao 
Published: November 2019

Abstract
Aiming at the low precision of IGBT thermal parameter junction temperature prediction method and the need to extract multiple parameters and being vulnerable to load, the improved artificial bee colony algorithm optimized support vector regression machine (ABC- SVR) is used to predict the IGBT junction temperature. Firstly, the formula for updating the honey source in the artificial bee colony algorithm (ABC) is improved, and the fitness probability of Follower bee select honey source is introduced to construct the weight function; Then the problem of support vector regression (SVR) parameter selection is transformed into the parameter combination optimization problem, then establish an optimal SVR model; Finally, the data from the IGBT accelerated aging test provided by the National Aeronautics and Space Administration (NASA) is taken as a sample, the predicted results of the improved ABC-SVR model and the common ABC-SVR model were compared and analyzed. Through the simulation results, the prediction effect of improved ABC-SVR model is better than the common model, and the running time is greatly reduced, it has greater precision in junction temperature prediction.
Optimization of the raw material field layout for iron-steel enterprise
Authors: Liu Wenbo , Kong Yuehong 
Published: November 2019

Abstract
This paper studies a short-term layout optimization problem with the raw material field for iron-steel enterprises. The raw material field is a centralized storage place and distribution unit of various raw materials such as iron ore, which plays a significant role in the iron front logistics for iron and steel enterprises. Whether the stacking of raw materials is reasonable or not directly affects the logistics efficiency and logistics cost of raw materials for iron-steel enterprises. Based on the status and basic information of the raw materials, storage space of the field shall be made full use of to allocate the optimal position for each type of raw material. To achieve this goal, a mixed integer programming (MIP) model is developed, which is purposed to minimize the transportation cost and the loss of mixing. The solution compares favorably with the current practice in the iron-steel enterprises.
An Effective Method for Defect Detection of Copper Coated Iron Wire Based on Machine Vision
Authors: Ma Yuqing , Ge Xueren 
Published: November 2019

Abstract
In this study, a defect detection system based on machine vision is established to distinguish the defective copper coated iron wires during electroplating. By collecting the real-time images in the production line using a CCD industrial color camera, this system could effectively identify different colors and connect the same pixel region based on Halcon. Also, image segmentation is applied to eliminating the interference of the bearings placed around the wires. Then, the division procedure is completed and the defective area is classified. This defect detection system could efficiently improve the level of automation during industrial production.
Summary of Improvement and Research Based on Robust Principal Component Analysis Model
Authors: Bian Xinxin 
Published: November 2019

Abstract
Moving object detection play an important role in the application of computer vision. In recent years, the proposal and improvement of robust principal component analysis has broad application prospects in intelligent video surveillance and other fields. In order to enable domestic and foreign researchers to deeply explore and apply the RPCA, this paper systematically reviews it. This paper summarizes the latest research progress, summarizes various RPCA models at home and abroad, and theoretically analyses their advantages and disadvantages. In this paper, different improved models are applied to video sequences of different scenes, and comparative experiments are carried out. Overall, the current improved algorithms can effectively remedy the shortcomings of the original RPCA method and improve the accuracy of moving object detection. However, some limitations of RPCA need to be further studied.
Failure analysis of a high temperature superheater pipe
Authors: Ren Facai , Su Jiansheng , Tang Xiaoying 
Published: November 2019

Abstract
The failure causes of a superheater pipe of a supercritical once-through boiler were analyzed based on the chemical composition analysis, tensile test, hardness and microstructure analysis. The results show that the microstructure changing from martensite to austenite due to the high temperature exceeded Ac1 causes the sharply decrease in the strength of superheater pipe.
Analysis of Numerical Simulation of 0Cr18Ni9 Stainless Steel Pipe Welded Joint
Authors: YuKun Yang 
Published: November 2019

Abstract
0Cr18Ni9 stainless steel pipe is a commonly used welding material, which has great demand in shipbuilding, boiler pressure vessel and construction engineering. In this paper, for a given welding process condition, select reasonable parameters, carry out numerical simulation process on welded joints, analyze the temperature field distribution law and stress field value of welded joints, and judge whether it is consistent with the actual.
Research on Intelligent Diagnosis Method of Rolling Bearing Fault Based on Machine Learning
Authors: Jianyan Sun , Lin Li , Weijia Zeng 
Published: November 2019

Abstract
In order to solve the problem of poor intelligent diagnosis results of bearing faults, an intelligent diagnosis method of rolling bearing faults based on machine learning is proposed. Through extracting the characteristics of common fault parameters of rolling bearings, the comparative values of bearing fault diagnosis are obtained. In order to ensure the stable operation of the bearings, a machine-learning rolling bearing diagnosis platform is designed for the acceptable deviation values in the standard operating parameters of the bearings, so as to carry out fault diagnosis and feedback control processing on the operating parameters of the bearings in time, thus realizing intelligent diagnosis of rolling bearings faults. Finally, the experiment proves that the intelligent diagnosis method of rolling bearing fault based on machine learning is obviously improved compared with the traditional method.
Development and Application of Green Manufacturing
Authors: Liang Shaoqiang 
Published: November 2019

Abstract
Green manufacturing is an important means to alleviate the pressure of world resources and environment and promote the transformation of manufacturing industry. This paper analyses the main application of green manufacturing and the future development direction of green manufacturing, and is available for suggestions for the future development of green manufacturing. Green manufacturing promotes the formation of circular economy model and the sustainable development of human society. It is an indispensable part of implementing sustainable development strategy.
Design of main frame of tunnel lining trestle with multivariate response model
Authors: Hu Zhirong 
Published: November 2019

Abstract
The main frame of the key equipment trestle in the tunnel lining rapid construction complete set process is the research object. Taking the main frame structure optimization and light mass of the trestle as the research goal, the Central Composite Design test design method is used under the conditions of using the structural strength and stiffness. The primaries of the multi-structure size parameters are subjected to sensitivity analysis, and the sizes that have large influence on the structure mass, the maximum deformation, and the maximum equivalent stress are selected as the final design variables. The response surface model between the design variables and the optimization targets is established, and the global optimal solution of the design variables is solved by the MOGA algorithm. The analysis results show that the optimized structural section parameters meet the requirements of tunnel rapid lining construction, and the mass is reduced by 7.9%.
Research and Design of Multi-Joint Bionic Robot
Authors: Yang Defan , Wang Rihe , Lu Yaping 
Published: November 2019

Abstract
According to the various movement patterns of snakes and caterpillars, the body structure of Multi-Joint Bionic Robot is designed and analyzed, and the Multi-Joint Bionic Robot model was printed by ABS material 3D.The multi-Joint Bionic Robot is designed to achieve winding forward, multi-limb reversal movement, turning, curled up and other movements, through the voice signal detection, ultrasonic distance detection to mimic the ears and eyes of the creature. At the same time, for the problem of controlling joints, a control method combining distributed control and centralized control is proposed, and the parallel control method of multi-joint joints is studied. Experiments were carried out on the multi-joint robot body to analyze the force of the Multi-Joint Bionic Robot during the movement, and the smoothness and fluency of the robot movement were realized.
Research on Numerical Control Programming Error Analysis of Complex Free-form Surface Machining Accuracy
Authors: He Fang , Luo Jihui , Tian Meizi , He Renqi 
Published: November 2019

Abstract
In order to improve the machining precision of NC machining of complex free-form surface, the factors affecting the precision of NC machining of free-form surface are analyzed. The main links of NC programming are studied. The method of reducing NC programming error and improving machining accuracy is proposed.
Cooling principle of high temperature heat exchange machinery system with moderate cold source
Authors: Qi Ping , Cao Limei , Wang Jun , Ribeiro e Sousa Luis 
Published: November 2019

Abstract
High rock temperature in deep coal mine is a problem, which restraints the exploration of coal resources, we must reduce the temperature humidity at working face. The HEMS (High temperature heat Exchange Machinery System) were developed by using coal mine water as cold source. The system is applied in Jiahe colliery with moderate cold source in phase I, for phase II, we proposed water circulation at different elevations as cold source and the cooling system run effective. Operational principle for HEMS-I was presented and gave the theoretical basis for optimization design. After cooling, air temperature at C point on working face is from 28∼29 °C, it is less than 30°C and conform to coal mine safety regulation.
Icing aircraft safety analysis based on optimal control of reachable set
Authors: Yu Zhilong , Li Yinghui , Xu Wenfeng , Dong Zehong , Zheng Wuji , Zhou Chi 
Published: November 2019

Abstract
Aiming at the problem that icing leads to poor aerodynamic characteristics and affects the safe flight of aircraft. This paper takes the simplified model of NASA’s Civil Aircraft Research Model (CARM) as the research object establishing longitudinal dynamics model and icing effects model. Based on the optimal control theory of reachable set, the backward reachable set is proposed as the safe flight envelope,which used to analyze the influence of icing on flight safety.It is shown that with the increase of icing degree, the control range of key flight parameters is narrowed, and the possibility of aircraft stall is increasing. The evaluation results are consistent with the actual situation, which can provide some reference for the pilot control.
Microgrid Control Technology Based on Neural-Like P Systems with State Values
Authors: Liang Bin , Yang Guang , Liu Xiaochen , Liu Yangyang , He Zehao 
Published: November 2019

Abstract
By utilizing the mobile energy storage characteristics and random dispersion of electric vehicles, it is coordinated with the wind power storage unit to optimize the economic and reliable operation of the system.In this paper, the integrated microgrid of wind, photovoltaic, energy storage and electric vehicle is studied. Under the premise of ensuring the safety and stability of the system, the control goal is to meet the needs of electric vehicles users as much as possible and to maximize the utilization ratio of new energy. The operation control strategies of power battery under disordered charging and orderly charging/discharging are considered respectively. Subsequently, the operation model of wind turbine generation and electric vehicles orderly charging/discharging is established by using the neural-like P system with "state value", and the operation modes of each unit are obtained according to the operation of microgrid. Finally, the effects of disordered charging and orderly charging/discharging of electric vehicles on the safe and stable operation of the microgrid system are compared by simulation experiments.
Research on Comprehensive Evaluation Method of Belt Conveyor
Authors: Hu Qinghe , Sun Peng , Zhang Shuang 
Published: November 2019

Abstract
In order to reduce the influence of human subjectivity on the evaluation results in the process of equipment evaluation, a comprehensive evaluation method of belt conveyor combined with Analytic Hierarchy Process (AHP) and Fuzzy Comprehensive Evaluation (FCE) is proposed. The AHP method is used to determine the impact weights of the belt conveyors. The FCE method is used to comprehensively evaluate the overall operation of the belt conveyor. The rationality and reliability of the proposed method for the comprehensive evaluation of the belt conveyor are verified by an example of operating parameters of a steel enterprise.
A Design of Fuzzy Immune PID Controller for Six-rotor UAV Under Gyroscopic Effect
Authors: Zhou Wen , Wang Xiaoping , Liu Bo , Chang Yipeng , Liu Jia , Zhou Wei , Cai Qiang 
Published: November 2019

Abstract
The six-rotor UAV has the characteristics of vertical take-off and landing, air hovering and large carrying capacity, which can accomplish tasks that cannot be completed by many fixed-wing aircrafts. In recent years, the research of dynamic modelling and control methods of the six-rotor UAV has gradually become hot topics at home and abroad. Considering the gyroscopic effect of the blade, a more accurate dynamic model of the six-rotor UAV is established, and then combined with the feedback mechanism of the biological immune system and the fuzzy control theory, a fuzzy immune PID controller is designed to optimize the parameters of the traditional PID controller, which can perform self-tuning of PID parameters. The position and attitude control of the UAV under hovering state is simulated by Matlab/Simulink software. The results show that compared with the conventional PID controller and fuzzy PID controller, the control system has the advantages of better dynamic and static performance such as shorter response time, smaller overshoot and improves the anti-interference ability and robustness of the system.
Research on Conceptual Design of Nuclear Non-security Distributed control system
Authors: Huang Jie 
Published: November 2019

Abstract
The nuclear non-security distributed control system is very important to the security of the nuclear power system. So some special design is used to ensure the system’s reliability and security. But the redundant design makes the traditional non-security system large in size, more in cabinets and complex in wiring.To solve these problems,we would like to choose new technologies to optimize the system more simple. The new conceptual design can make the non-security distribute control system have less wiring and less cabinets, and the system can be high security.
Design of Robust Positively Invariant Set with Associated Controller for the Multi-rotor UAV
Authors: Li Zhinan , Li Weihua , Wang Peng 
Published: November 2019

Abstract
In this paper, a nonlinear multi-rotor unmanned aerial vehicle (UAV) system with bounded disturbance and input saturation is considered and we design a robust positively invariant (RPI) set for the trajectory tracking problem of the multi-rotor UAV. A nonlinear controller with disturbances offset is designed firstly to ensure the stability of tracking, and the RPI set is constructed based on linear matrix inequalities (LMIs). For the tracking error within the designed RPI set, the designed controller can always guarantee that the tracking error stays in the RPI set forever and eventually converges to zero. The effectiveness of the proposed results are confirmed by the numerical simulation.
Suspect Prediction Based on Naive Bayesian Method
Authors: Hu Zixuan 
Published: November 2019

Abstract
Aiming at the terrorist attacks that have happened in 2015 and 2016, which have not been organized or claimed responsibility by individuals, the suspect prediction algorithm based on naive Bayesian method is used to solve the problem of finding the perpetrators of terrorist attacks. Firstly, we select five terrorist organizations and individuals which are more harmful to terrorist attacks. Then, we use the suspect prediction algorithm based on naive Bayesian method to select the terrorist attacks that occurred in 2015 and 2016, which have not yet been organized or claimed responsibility by individuals. Finally, we use the Sklearn machine learning library of Python to calculate and get all the suspects in each incident. The probability of a suspect is the degree of suspicion.
Study on Risk Intervention, Identification and Warning Techniques for Preventing Fall Injuries in the Elderly
Authors: Jin Zongzhen , Cao Lili , Zeng Yi , Cheng Yonghong 
Published: November 2019

Abstract
Fall injuries have become a major threat to the health and safety of elderly people. Domestic and international studies are increasingly carried out on fall injuries suffered by the elderly. Balance scales, assessment & warning methods and tools are applied in studying falls of the elderly. In particular, devices like dynamic balance instruments, 3D force plates and surface electromyography instruments are used to capture the activity of elderly people and analyze their ability to maintain a dynamic balance. These techniques play an important role in effectively monitoring and assessing the situations of falls in the elderly. This paper sorts up current studies by scholars on falls of the elderly and analyzes the progress in this area from the angles of kinetics and biology. It particularly focuses on analysis of fall intervention using mechanical devices, supportive training services for intervening fall injuries suffered by the elderly, construction of fall injury models, and suggestions for intervening fall injuries at home. This paper finally puts forward some prospects for the study in this area.
Research on Fault Diagnosis and Maintenance Technology of Power Marketing System Based on Centralized Control Mode
Authors: Jiang Hui , Qiao Lin , Liu Wei 
Published: November 2019

Abstract
Fault diagnosis operation and maintenance technology of power marketing system is the key technology for the normal operation of power marketing system, which can ensure the accuracy and effectiveness of fault diagnosis. However, traditional power marketing system fault diagnosis operation and maintenance technology is limited by the transformation of mode, resulting in low reliability and small diagnosis range of fault diagnosis. Therefore, the fault diagnosis and maintenance technology of power marketing system based on centralized control mode is proposed. The fault diagnosis and maintenance model of the power marketing system is constructed, and the centralized control mode is introduced to carry out special operation and maintenance processing for the observer and actuator faults of the power marketing system, so as to realize the fault diagnosis of the power marketing system with the centralized control mode. Experimental data show that compared with the traditional fault diagnosis and maintenance technology, the proposed fault diagnosis and maintenance technology of power marketing system based on the centralized control mode has higher reliability and a breakthrough in the diagnosis range.
Research on Automatic Detection Method of Minor Faults in Electrical Components of Ejection Seat
Authors: Ying Li 
Published: November 2019

Abstract
In order to solve the problems of high error rate and poor efficiency existing in the current ejection seat electrical fault detection process, the automatic detection method of ejection seat electrical component minor faults was studied, and the original features of component minor faults were effectively extracted with ant colony algorithm as component fault diagnosis comparison data. Combined with the minimum binary algorithm, the safe operation parameters of seat electrical components are calculated. Combined with the safe operation parameters, the mini-fault diagnostic device of ejection seat electrical components is constructed, and the original feature parameters of mini-faults of components are input into the underlying database of the diagnostic device. Once the operating parameters of seat components exceed the range of safety parameters, the original feature data of mini-faults in the database are extracted to screen and detect the mini-faults of seat, so as to quickly obtain the cause of the faults and complete the automatic detection of mini-faults of ejection seat electrical components. Finally, experiments show that the error rate of this method is reduced by more than 50 % compared with the traditional component fault location detection method, which fully meets the research requirements.
Research on the performance of multifrontal method in power system simulations
Authors: Wen-Kai Zhao , Wei-Zheng Gong , Bang-Peng Xie , Jia-Lin Wan 
Published: November 2019

Abstract
Efficiency of power system simulation has close relationship to the sparse LU factorization algorithm. Multifrontal method is a notable LU factorization member. This paper investigates the performance of multifrontal method in power system simulations. Performance of multifrontal method heavily relies on the frontal matrix size. Frontal matrix size can be represented by front size. Front size is subject to the treewidth of power network. A treewidth approximation method (TAM) is presented to approximate the treewidth of power network. Two derivatives of TAM are given to tackle the sparse matrices from power flow calculation and small signal stability eigenvalue analysis respectively. Simulation results verify the accuracy and efficiency of TAM and its derivatives. Further results indicate that most power networks have low treewidth, which is prone to degrading the performance of multifrontal method. Multifrontal method is able to gain its performance in power system simulations when the front size of the involved matrix is large enough.