bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction model of blast furnace molten iron temperature based on GRA-DE-KELM
Authors: Hu Kaifei , Hu Qinghe , Liu Guangyue , Zhang Shuang 
Published: November 2019

Abstract
Aiming at the inherent defects of the traditional blast furnace temperature model, a prediction model of blast furnace molten iron temperature based on GRA-DE-KELM is proposed. Because the blast furnace ironmaking process is extremely complex and has the characteristics of multivariable, nonlinear, and strong coupling, the traditional modeling method cannot meet the requirements of high precision prediction of molten iron temperature. Firstly, because the parameters affecting the temperature of molten iron have strong correlation, in order to reduce the complexity of modeling and improve the performance of the model, it is necessary to extract the main parameters affecting the temperature of molten iron. In this paper, the GRA (gray relation analysis) method is used to analyze the input variables and determine the input variables of the model. Then the KELM (kernel extreme learning machine) prediction model is established by combining the analyzed variables, and DE (differential evolution) algorithm is used to optimize the model kernel parameters. Finally, the model is trained and tested using field-acquired data and compared to traditional predictive models. The results show that the model can quickly and accurately predict the molten iron temperature, and has a good guiding significance for the actual regulation of blast furnace temperature.
Robust L2-L∞ Filtering for LPV Systems with Distributed Delays
Authors: Li Yanhui , Fan Zhe 
Published: November 2019

Abstract
The linear parameter-varying(LPV) systems with distributed delays are studied by the robust filter design problem. Firstly, the parameter-dependent Lyapunov theory is used to propose the L
2-L
∞ performance criterion of time-delay correlation. Introducing the projection to understand the coupling between the Lyapunov parameter matrix and the system parameter matrix, and obtaining the L
2-L
∞ performance criterion which is easier to solve. Then the sufficient conditions for the existence of the filter are obtained. The parameterized linear matrix inequality(PLMIs) with infinite dimension is converted to LMIs with finite dimension by using approximate basis function and network technology. Finally, the feasibility of this method is verified by numerical simulation.
Functional Surface Reasoning Strategies in Product Growth Design
Authors: Ning Ma , Bo Yang , Junzhi Shang , Changqing Gao 
Published: November 2019

Abstract
Based on the systematic analysis on the principles of conceptual design, the key technologies of functional surface reasoning in product growth design are discussed. Firstly, the basic concept of product growth design, functional surface as well as Generalized Positioning Principle (GPP) are given. Secondly, the functional design principles based on function surface reasoning are proposed, in which three reasoning rules on relationships among functional surfaces are developed. Thirdly, by transferring the product motion into its relative mechanical transmission, functional-surfaces relationship reasoning strategies are put forward based on kinematic joints. Those methods offer good analyses and descriptions of the orderly evolution process of the product function and structure, in a proper sequence from functional requirements to functional models, then to product motion transmission chain, finally to functional surface pairs constructing the product motion transmission chain. Finally, an example is given to verify the effectiveness of the proposed method.
Enhance the Mechanical Strength of Metal Plates by Processing the Shape of the Bulge
Authors: Han Zhiyou , Chen Yongdang 
Published: November 2019

Abstract
The shape change of spherical bulge can affect the mechanical strength of sheet metal parts. The strength contrast experiment between the local bulge plate and the flat plate was designed to analyze the influence and mechanism on mechanical strength from local bulge shape change. The experiment took an approach measuring the combined displacement and stress of each unit on the stressed surface and the central axis under the same thickness and load to compare the difference of mechanical strength. The results show that the bulge plate brings maximum stress and maximum displacement less than 6% of the plate, smaller mean stress and displacement, lower content of strong stress and high deformation unit, and it is more obvious when the load direction is the same as the bulge direction. The method can provide a new idea for enhancing the mechanical strength of components and reducing the amount of material used in equipment manufacturing.
Numerical simulation of supercritical carbon dioxide turbine thermal stress based on multiphysics coupling method
Authors: Wu Jun , Li Yubing , Zhao Zhenxing , Lin Yuansheng , Bai Fan , Wang Wei 
Published: November 2019

Abstract
Supercritical carbon dioxide Brayton cycle has significant advantages such as high efficiency, low cost and small size. Turbine is a key turbomachinery in the supercritical carbon dioxide Brayton cycle system. It works in the harsh environment of high pressure, high speed and high temperature gradient. The huge thermal stress is an important cause of the turbine structure failure. In this paper, the thermal stress analysis is conducted for a supercritical carbon dioxide turbine with an output of 200 kW and a rotational speed of 40,000 rpm. In order to consider the coupling relationship between the temperature field and the structural stress field, the flow-thermal-solid coupling analysis method is applied to calculate the thermal stress of the supercritical carbon dioxide turbine impeller. The results of thermal deformation and thermal stress analysis of the turbine impeller are obtained by the numerical simulation. The high stress region not only appears in the geometrical structure, but also in the region with large temperature gradient. The analysis results show that the maximum equivalent stress appears at the fillet between the turbine impeller and the seal with a value of 324 MPa. This value is less than the yield limit of the material at 500 °C. The turbine impeller structure meets the strength design requirements.
Fatigue Simulation Analysis of Semi-open Thick-walled Cylinder under Cyclic Loading
Authors: Ren Junpeng , Yue Pengfei , Wang Xudong 
Published: November 2019

Abstract
The fatigue of the gun barrel is an important factor affecting the life of the gun barrel. The gun barrel is simplified into a semi-open thick-walled cylindrical container. The stress form and load type are analyzed according to the internal ballistic model of the artillery. The model is set to simulate the initial boundary conditions and load parameters, and the fatigue response of the gun barrel under different cyclic load impacts is compared and analyzed. The results show that the fatigue danger zones of the different load strengths are basically the same, and the load strength has the fatigue life of the gun barrel. The greater the impact, the life of the body under the strong charge load is reduced by 59.81% compared with the life of the positive charge. In the design and test of the gun barrel, the life of the body under the strongest load is used as the evaluation standard.
The Research on the Intergration of Individual Parking Garages into Underground System
Authors: Yang Feng , Zhu Shikun , Du Linheng , Zhang Changdong 
Published: November 2019

Abstract
The current situation of parking system caused by the increase of domestic car ownership rate is analyzed. The advantages and disadvantages of the present mechanical parking garage are introduced. A single import and export in the parking garage will cause congestion and the user will wait for too long. Aiming at the shortage of the existing mechanical parking garage, a new combinable underground parking system is designed which utilizes multiple combinations of parking garages and sets up multiple lifting parking trays. Through analysis, this new underground parking system will greatly improve the space utilization rate and reduce the parking time.
Research on the Application Status and Development Trend of Automatic Control Technology in Industrial Field
Authors: Gao Kang 
Published: November 2019

Abstract
With the growing maturity of automatic control theory, various automatic control systems have found wide applications in the industrial field. Starting with an overview of the current development of automatic control technology, this paper introduces the application of automatic control technology and analyzes its development trend by presenting four typical industrial automation application scenarios, including industrial boiler control, control of thermal power plants, electronic automatic assembly and intelligent control of temperature.
Dynamic path planning based on variable step size rolling window derivation and obstacle prediction
Authors: Liu Bo , Wang Xiaoping , Zhou Wen , Zhou Wei , Chang Yipeng , Cai Qiang 
Published: November 2019

Abstract
Aiming at the problem of dynamic path planning for UAVs in complex environment, a path planning algorithm combining dynamic obstacle trajectory estimation and variable step rolling window deduction is proposed. When the dynamic obstacle distance is close to the UAV, the Kalman filter is used to estimate the dynamic obstacle trajectory. Then the window deduction is performed to judge the track area of the deduction window, so that the algorithm has certain "forward-looking". In turn, the window step size, the flight speed of the drone and the flight direction are changed, and the avoidance of the dynamic obstacle is completed, and the final goal is reached by the rolling plan. The experimental analysis shows that the algorithm can complete the dynamic path planning of UAVs in complex environment in real time.
Study on Force Interaction System of Upper Limb Rehabilitation Robot
Authors: Wang Xiaoming , Yu Hongliu , Li Kejing , Dong Qi , Huang Xiaohai 
Published: November 2019

Abstract
This paper designed a novel human-machine interaction system for a Center-control upper limb rehabilitation robot. This proposed system integrates control system, force interaction system, the graphical user interface and virtual reality system based on motion intention recognition technology, control technology and servo drive technology. Emphasis is placed on the research of force interaction system, which can identify the patient’s motion intention and provide the required torque for rehabilitation training. Two functional tests have been done to verify that the human-machine interaction system of the upper limb rehabilitation robot can safely and effectively complete the assistance function in the active training, and can assist patients with certain muscle strength to complete the active rehabilitation training.
Fracture failure analysis of an escalator driving chain
Authors: Ren Facai , Liu Xiaochang , Liang Xiao , Wu Xinghua 
Published: November 2019

Abstract
The fracture failure causes of an escalator driving chain were analyzed by the optical microscope and scanning electron microscope analysis. The surface decarbonization of the driving chain plate can be observed. From the macro and micro analysis of the fracture surface, the fracture of the driving chain is caused by fatigue.
RESEARCH ON INTELLIGENT TRUNCATION TECHNOLOGY OF SAFETY MARGIN STATE IN POWER OPERATION SYSTEM
Authors: Liu Wei , Hu Pan , Bo Jue , Wang Danni , Sun Junwei 
Published: November 2019

Abstract
The traditional safety margin state technology has low reliability in the case of continuous failure. By analyzing the influence of branch disconnection on node voltage and line load, the fault status events of safety margin components are screened. Then, according to the method of single circuit breaking, the overload circuit of power operation system is judged. And set the setting value of relaying protection, calculate the safety margin of component disconnection, and complete the intelligent truncation technology design of the safety margin state of power operation system. The n-3 fault state space is truncated, and the experimental results show that the intelligent truncation technology of power operation system safety margin state can effectively improve the reliability of the analysis results
RESEARCH ON THE INTELLIGENT RECONSTRUCTION METHOD OF HARMONIC SIGNAL UNDER MULTI-OBJECTIVE FAULT INTERFERENCE
Authors: Yu Kaiji , Yang Pu , Liu Ruiyun 
Published: November 2019

Abstract
At present, most of the research on the intelligent reconstruction of harmonic signal of power grid focuses on the reconstruction of signal. However, many signal processing does not require accurate signal reconstruction. For example, in the problem of harmonic reconstruction of the power grid, if the harmonic signal of the power grid can be detected directly from the intelligent reconstruction data, there is no need to reconstruct the original harmonic signal. In order to use the network harmonic signal reconstruction algorithm to directly extract the required characteristic quantity from the sampling value to complete the signal detection task. Therefore, the research on the intelligent reconstruction method of harmonic signal under multi-objective fault interference is proposed. The sparse degree and reconstruction matrix of harmonic signals of the power grid are determined through the intelligent reconstruction framework of harmonic signals of the power grid, and an algorithm for the reconstruction of harmonic signals of the power grid is proposed to realize the reconstruction of harmonic signals of the power grid. Simulation results show that this method has high precision in detecting harmonic signal and high precision in detecting harmonic signal.
Electric Vehicle BMS Subdivision Technology Patent Distribution Analysis
Authors: Yurong Huang , Yuanyuan Hou , Jingyan Zhou , Jing Qiao 
Published: November 2019

Abstract
Patents is one of the most important achievements of technology innovation. This article analyze the technology research and development of subdivision technology of the electric vehicles battery management system from the perspective of patent, analyze the research progress of every subdivision technology, the main innovation country, and the main body of innovation, in order to provide intelligence support for the enterprise technology research and development and looking for partners.
Simulation Analysis of Wind Turbine Grid Operation Based on PSCAD
Authors: Yue Chao , Wang Donghui , Qi Qiumin 
Published: November 2019

Abstract
With its advantages of pollution-free and low cost, wind power has considerable market and huge development space in many new energy power generation systems. With the increasing installed capacity of wind power, the grid’s acceptance of large-scale wind power has become a new problem. It is very necessary to study the operation characteristics of wind turbines and the related characteristics of grid-connected wind turbines. By analyzing the basic structure and working principle of wind turbine, this article studies the grid-connected control system with permanent magnet motor as the core, designs the corresponding grid-connected control circuit and simulates the grid-connected situation of wind turbine by building PSCAD model.
Study on A Fault Isolation Device in Low-voltage Network
Authors: LI Lei 
Published: November 2019

Abstract
A fault isolation device was designed in order to overcome the shortage of the traditional protective system. The corresponding circuit model was established and the character was analyzed when leakage occurred. Simulation study was carried out in this paper. The results show that a coupling voltage can be gotten which can drive the control system when leakage occurred. The adjustable capacity can be input reasonable by compare the supply voltage and voltage drop of the isolation device, thus the resonance parameters can be adjusted online and the electrical fault can be isolated effectively.
Optimum Design of Converter and Circuit Breaker in High Voltage DC System
Authors: Lu Yufeng , Su Yi , Liang Zhaoting , Lu Yifan 
Published: November 2019

Abstract
Recently, the shortage in fossil fuel causes the inflation around the world. Every nation is aware of the energy dependence on the imported oil and starts to invest on the replaceable energy such as fuel cell, solar cell and wind power. Besides of exploring more energy, cutting off the energy waste is another solution. At present, there are more digital electronics and applications of variable-frequency motors utilized at home or in office building in order to enhance the efficiency and performance. In addition, in IT industry, the amount of energy consumption in data centers is always an issue worthy to be considered. Due to the strict requirement of electricity quality, uninterruptable power system and protection facility are implemented which would result in loss in the process of electricity transmission. Therefore, with a little improvement in efficiency, considerable energy waste would be saved.
Research on Transmission Lines Early Warning Technology Based on Deep Learning
Authors: Yang Kelin , Xu Yongsheng , Li Peng , Shao Ning 
Published: November 2019

Abstract
At the present stage, high-voltage transmission lines are distributed in long distance chains, with large space span, complicated meteorological and geographical environment. The operating environment of the transmission lines is poor. Hence, manual patrol and maintenance are difficult. Various faults are very likely to affect the safe and stable operation of the power grid system. Therefore, this paper proposes a transmission lines early warning method based on Deep Learning. Through object detection technology of Deep Learning, intrusion objects in the monitoring screen are automatically identified, at same time, their positions and types are marked. The experimental results show that this method has high accuracy and is suitable for the current power grid monitoring system.
Fault Location Technology Research on Single Phase-to- ground Fault in Distribution Networks with Phase-to-phase Power Supply Lines
Authors: Qi Zheng , Hang Tianqi 
Published: November 2019

Abstract
Nowadays phase-to-phase power supply lines are adopted to part of MV distribution networks in order to improve the cost-effectiveness. However, the propagation of traveling wave is complicated if the single phase-to-ground fault occurs, which affects the accuracy of the fault location. This paper proposes a novel method. It considers the propagation mechanism of traveling wave produced by single phase-to-ground fault, including phase-mode transformation, the velocity of different mode, and the propagation characteristic at boundary. Whether the fault position is at the phase-to-phase power supply lines or the three-phase power supply lines can be identified and the fault distance calculated based on the time difference of the arrival surge between the aerial-mode and zero-mode components. EMTP/ATP simulation software verifies the reliability and accuracy of the method.
A Method of Single Phase-to-ground Fault Section Location for Closed-loop Distribution Networks
Authors: Qi Zheng , Xue Rong 
Published: November 2019

Abstract
In the field of fault location technology for neutral point non-effectively grounded distribution network, the original radial mode of operation is no longer applicable due to the gradual expansion of the scope of application of loop operation mode. By analyzing the zero-sequence equivalent circuit of closed-loop network, this paper finds out the characteristics of zero-sequence current when single phase-to-ground fault occurs in different sections, and puts forward the location method according to the characteristics. ATP simulation shows that this method is accurate and effective.
Research on Reactive Power Adjustment Capability of Hydro-generators
Authors: Jiang Dawei , Qian Xinyu , Yu Longbin , Wang Guanyu , Zhao Zijian , Cheng Xiang , Li Jing 
Published: November 2019

Abstract
With the continuous access of new energy sources to the power grid, the requirements of the power grid for reactive power adjustment capability are also continuously improving, and stronger reactive power adjustment capability is needed to keep the power grid voltage in a controllable range.To maintain the terminal voltage level of the generator, improve the operation stability of the power system, a superior excitation control mode is proposed in this paper. The open loop control and PID control under full load and partial load conditions are compared. The conclusions have some reference value for the study of reactive power adjustment capability of hydro-generators.
Anomaly Detection Algorithm Based On Electric Equipment
Authors: Sun Yu , Yan Gangfeng , Shi Xiasheng 
Published: November 2019

Abstract
Traditional methods for detecting data anomalies of power equipment fail to fully mine the data characteristics. And it has shortcomings such as complex calculation, poor flexibility and low accuracy. To solve the problem of abnormal fault detection of electric equipment, the abnormal detection algorithm based on statistical analysis and machine learning is used in the paper. The reconstruction method based on Long Short Term Memory (LSTM) time sequence is proposed for time series data abnormal detection. Experiments show that the new method is effective in detecting and correcting abnormal data, which reduces the detection time and improves the accuracy of state estimation results. There are huge differences within the positive samples in anomaly detection, so several methods are studied in the paper. One-class SVM algorithm is often used in novelty detection and isolation forest algorithm is used in outlier detection. Machine learning methods which is based on statistical analysis will play an increasingly important role in the fields of equipment monitoring and predictive maintenance, safety of electric equipment.
Modeling and simulation of basic components and transmission line based on Time Scale Frame Transformation
Authors: Cai Yanmeng , Yao Shujun 
Published: November 2019

Abstract
With the application of HVDC and flexible AC transmission in the power system, the rapid transient process of power electronic switches makes it impossible for electromechanical transient model based on the ‘quasi-steady state’ assumption unable to accurately reflect its changing process. At the same time, the increasing scale of the power system and the large number of higher harmonics brought by power electronic switches make the simulation results of the traditional electromagnetic transient model, which considers small step size, not fast enough. Based on the analysis and summary of the existing frequency reduction principles, this paper proposes time scale transformation for electromagnetic transient simulation with large step size, and uses it to establish the time scale frame phasor models of basic AC components and transmission lines. Finally, an example is given to show that the method is correct and effective.