bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Sliding Mode Control of Two-phase Hybrid Stepper Motor Based on New PI Current Algorithm
Authors: Lv Yinxin , Xu Chen , Guo Haohao , Liu Yancheng 
Published: February 2020

Abstract
This paper aiming at improve the dynamic and static performance and system robustness of the stepper motor servo control system, a control method based on sliding mode is proposed. It can effectively improve the problems of low-frequency vibration and serious torque fluctuation of the stepper motor. At the same time, a new PI current algorithm related to the motor speed is designed. The new PI current algorithm not only ensures the current tracking performance but also increases the bandwidth in the process of speedy response. Compared with the conventional PI current control algorithm, the simulation results show that the new PI current algorithm has a faster response and higher control accuracy, which show that the new PI algorithm has a better control effect.
Key Parameter Identification and Optimization of Photovoltaic Power Plants Based on Genetic Algorithm
Authors: Zhang Zhimei , Huang Shaowei , Chen Ying , Wei Wei 
Published: February 2020

Abstract
As the penetration rate of the photovoltaic power continues to grow, its impact on the stability of the power system becomes more considerable ever than before. However, due to the relatively low accuracy of the parameters, the traditional electromagnetic transient simulation used to assess the impact is biased. Therefore, it is of great importance to perform key parameter identification and optimization on a solar power plant containing many photovoltaic panels, which can avoid the problem of combination explosion. In this paper, a scheme of key parameter identification is proposed. Then, an optimization method based on genetic algorithm is also established to improve the accuracy. Simulation tests validate the effectiveness of the proposed method.
Green Way: engineering transformations to the Green Industrial Technologies
Authors: Chernyaeva V A , Wang D H 
Published: February 2020

Abstract
This research integrates the spectres of the Green Silk Road policy with strategic plans, technological achievements, smart engineering decisions, international development prospects. It is conducting the development of the “One Belt One Road” which associated with technological and economic changes in the regions of interaction. Since the announcement of this initiative on September 7, 2013 as an international integration strategy of cooperation, almost 6 years have passed. One of the most important direction including all industrial cooperation aspects is a green policy – the set of rules and principles of manufacturing connected to the environment protection. Currently, the influence of interstate integration on the economic condition of countries and regions is increasing, but in combination with this there is a negative impact on the natural environment of the planet. It is time to put the protection of the planet on the first place in the world, and within the framework of integration projects like the New Silk Road many countries are ready to participate in the joint protection of the environment and many of them have already achieved certain results.
Maloperation Analysis and Preventive Measures of 500 kV Reactor Protection
Authors: Haisheng Li , Xuefei, Yang Shaoyuan Yang 
Published: February 2020

Abstract
This paper introduces the process of checking, analyzing and dealing with the causes of maloperation of the first set protection of 500 kV reactor in a substation. By checking the secondary circuit of 500 kV reactor protection for power outage, it is analyzed that the main cause of reactor protection malfunction is that the cable core of the current circuit of the first set protection is damaged at the secondary terminal box of TA of the high voltage casing pipes, which causes the induction current to enter in series, the abnormal sampling of the first set of protection B phase, and the protection outlet action. Aiming at the existing problems, this paper gives corresponding treatment methods and preventive measures.
Fault Prediction of Fan Gearbox Based on Deep Belief Network
Authors: Zheng Hanfeng , Dai Yiru 
Published: February 2020

Abstract
Due to the large amount of data in the actual fan equipment failure, the external noise is complicated, and there is a high degree of nonlinearity and complexity, which makes it difficult to extract the fault features. If the model is constructed by the traditional method, the accuracy of the fault prediction is poor. Therefore, considering the advantages of deep learning in data feature extraction, this paper proposes a wind fault prediction method based on deep belief network (DBN). The original raw data is firstly deleted and normalized, and then imported into the DBN for training. The internal parameters of the network are adjusted by reverse learning to improve the feature extraction accuracy. Finally, the BP neural network is used to predict the fault. Comparing the prediction results with the SVRM method, we can find that the method has certain advantages in the fault prediction for the data.
Analysis of light efficiency of classroom grille lamp from optical loss
Authors: He Xiaoyang , Li Xiangfeng , Shao Li , Zou Nianyu , Zhang Yini , Hao Bin , Zhao Chenyu , Wang Qiuping , Yu Ling 
Published: February 2020

Abstract
One of the most important reasons is the influence of classroom lighting. Classrooms are places where students use their eyes for a long time. It is necessary to ensure that the light environment is healthy, comfortable and up to standard. At present, Classroom lamp is being updated, and many classrooms use new type of grille lamps as the main source of illumination. In this paper, from the perspective of light energy loss, the existing grille lamps on the market are studied, the transmittance of the diffusion plate, the light output rate and reflectivity of the grille are analyzed, and the theoretical light efficiency is calculated and verified. Combined with the classroom lighting standards and simulation results, this paper explores whether the light efficiency of grille lamps meets the standard, and puts forward suggestions for improvement.
Research on Distributed Vertical Frequent Pattern Mining Method Based on Metadata Integration
Authors: Sun Li , Guo Li , Tian Huan 
Published: February 2020

Abstract
In order to better integrate the information industry into people’s life and work, and even in social development, how to mine data has become a hot issue. Metadata is a kind of data about data. Mining metadata helps data application and storage. Therefore, it is very important to find an efficient and intelligent data mining method. This paper introduces the metadata and its integration technology. On this basis, it introduces the distributed vertical frequent mode, and introduces its use in the process of mining metadata, providing a new working idea for the staff engaged in related industries.
Comfort Evaluation and Application of Office Chair Based on FAHP
Authors: Chen Siyuan , Chen Ming , Lyu Jianhua , Li Sichao 
Published: February 2020

Abstract
In order to establish an evaluation system of office chair comfort, this paper comprehensively and quantitatively analyzed the qualitative problem of comfort. Typical office chair samples were selected through cluster analysis and multi-dimensional scale analysis methods, and FAHP was used to establish the evaluation model from four aspects: physical scale, adjustability, support and synergy. Then, the model was used to evaluate the comfort of three office chair types. The results showed that it is feasible to apply FAHP to product evaluation of office chairs, and this evaluation model can provide a quantitative indicators system of seat products.
Technical and economic analysis of hollow (thin wall corrugated pipe) beamless floor in underground garage
Authors: Ronghui Lin , Guanming Guo , Hui Xie 
Published: February 2020

Abstract
as a new type of construction technology, hollow floor without beam has been widely used in constructions. This paper studied economic efficiency of selecting hollow (thin-walled corrugated pipe) beamless floor structure system, common beam slab structure system and beamless floor structure for the roof of underground garage. Through the comparative analysis, the following conclusions are obtained: If thin wall corrugated pipe hollow beamless floor technology is used in the construction of underground garage roof, the use of construction materials and the direct cost of the projectcan will be greatly reduced.
Research on Tool Wear Detection Based on Genetic Neural Network
Authors: Zeng Shaojun , Liu Songming 
Published: February 2020

Abstract
To improve the accuracy of tool wear detection, this paper proposes a tool wear detection method based on genetic neural network. Firstly, the vibration signals during tool processing are collected, and these signals are preprocessed to eliminate background noise. Then, in addition to the time-frequency analysis, the Ensemble Empirical Mode Decomposition which is more suitable for the processing of non-stationary random signals is also applied to extract tool wear sensitive features from signals. To reduce the computational complexity of the neural network, some minor components in the sensitive features can be omitted by kernel principal component analysis, leaving the principal components as the input of the neural network. Finally, aiming at the shortcomings of the BP neural network, the genetic algorithm is optimized in terms of chromosome coding, setting of control parameters and genetic operation, so that it can obtain better weights and thresholds to improve the BP neural network. The experimental result proves that the accuracy of BP neural network is 86.7% and that of genetic neural network is 96%. The tool wear detection method based on genetic neural network is more suitable for practical use.
Research on Power User Intelligent Load Forecasting Method Based on Data State Drive
Authors: Lv Da , Xue Jianjie , Zhang Yan , Tang Mengcong , Wu Yannan , Chen Qian 
Published: February 2020

Abstract
this paper proposed a variable input structure SVM prediction model based on state analysis. By identifying the key load characteristics in the load data and storing the load characteristics instead of the original load data, user load data can be realized more accurate and efficient. Based on the variable input structure SVM model of state analysis, the same state load is searched according to the results of state prediction in each period of the forecast day, and the same state historical load is used as the input factor of the model to predict. It effectively overcomes the interference of user power drift effect on load forecasting., and the forecasting accuracy is effectively improved.
A New Probability Evaluation Model and Method of Wind Power Absorption Capability Based on Multi-Scenario Operation Simulation
Authors: Li Xuxia , Wang Yao , Hu Yingying , Wang Peng 
Published: February 2020

Abstract
This paper proposed a probabilistic evaluation method of wind power absorption capacity considering interregional interaction based on multi-scenario operation simulation. The time scale of this method is pre-day, and many factors related to wind power absorption can be considered comprehensively, such as peak shaving capacity, frequency modulation capacity, load tracking capacity, rotating reserve capacity and network transmission capacity, which can provide a Multidimensional ratio evaluation of wind power absorption capacity which could identify the short-board factors that restrict wind power absorption. This paper provides a general framework for wind power absorptive capacity assessment. In the practical application of power system, the constraints can be flexibly chosen according to their own characteristics. The analysis results of the above examples show that the proposed method can effectively consider the inter-regional interaction, and can simulate and evaluate the system more accurately.
Gesture Recognition Based on Deep Learning
Authors: Zhang Tingxuan 
Published: February 2020

Abstract
In the modern society, the technology of artificial intelligence is playing a more and more important role. It is well known that we can use the deep learning to do the human gesture recognition which is quite helpful for us. For example, if our system finds a student who is playing his cell-phone in the classroom, the system will give him a very low score in this lecture. For another example, if some students are taking notes carefully, our system will give them very high scores. In this project, I used the knowledge of the deep learning which is quite hot recently, and applied the knowledge of human key point detection to realize behavior recognition.
Design of Rolling Ball Control System Based on PID Algorithm
Authors: Huiyuan Cao , Bin Ren , Renhao Yang 
Published: February 2020

Abstract
The ball and plate system is a medium for researching automation control. As a multivariable, non-linear control object, the sphere studies how its fixed-point control and trajectory motion have great significance for automatic control. The software part of a ball and plate system designed in this paper adopts PID control. The hardware part uses STM32F103RCT6 as the main control chip. The position of the ball is obtained through the four-wire resistive screen and the HC05 Bluetooth module is used to communicate with the mobile phone. The corresponding state of the system is displayed by the TFT liquid crystal module. The fixed point control of the small ball and the specified trajectory movement are realized. The fixed point control can change the fixed point of the small ball at any time by clicking the mobile phone screen, and the specified trajectory movement can be controlled by the cricket system button or the mobile APP control.
Adaptive Dynamic Sliding Mode Control Laws for Attitude Stabilization of Flexible Spacecraft
Authors: Dong Xi , Dong RuiQi , Wu Ai-Guo 
Published: February 2020

Abstract
In this paper, an adaptive dynamic sliding mode control technique is adopted to stabilize the attitude of flexible spacecraft with disturbance. The mathematical model of flexible spacecraft is constructed by the modified Rodrigues parameters. The adaptive control technique is applied to guarantee stabilization of flexible spacecraft with disturbance. By introducing a dynamic switching function, the chattering caused by sign function of the traditional sliding mode control law can be eliminated. Finally, by comparing with the adaptive control law proposed in [12], a numerical example is employed to illustrate the effectiveness of the designed control law.
Simulation and experiment of a new DC fault current limiter topology
Authors: Wang Wenjie , Liu Jianzheng 
Published: February 2020

Abstract
With the development of high voltage direct current (HVDC) power transmission system, it is imperative to develop a practical current limiting device which can effectively protect the converter from the influence of fault current. Based on the topology of current limiter proposed in previous papers, considering the requirements of practical application conditions, an optimized topology is proposed, which consists of snubber circuit and arrester, both in simulation and experiment. In addition, the RC buffering circuit is added and the parameters are optimized to reduce the voltage impulse that the IGBT of fault current limiter would else bear. Simulation and experiment are carried out in DC system. Both simulation and experiment results can prove the effectiveness of the optimized current limiter circuit.
Research on the Feasibility of the Self-circulating Evaporative Cooling System with Composites Structure for High Power Rectifier Equipment
Authors: Yan Jing , Ruan Lin 
Published: February 2020

Abstract
Self-circulating evaporative cooling system is safe, effective and energy-saving. It has advantages compared with the traditional cooling technology. So it provides a new cooling method for high power rectifier equipment. Then take an example of the three-phase bridge full-controlled rectifier, a new cooling system with composite structure and non-single heat loads was proposed. Through analysis on the circulation mechanism and operation characteristics, the feasibility of the self-circulating evaporative cooling system which is composed of horizontal and vertical hollow conductor was studied in this paper.
The cluster-delay consensus of nonlinear multi-agent systems via impulsive control
Authors: Zhang Zhenhua , Peng Shiguo , Chen Tao 
Published: February 2020

Abstract
Based on the impulsive control strategy, the cluster-delay consensus of nonlinear multi-agent systems is studied in this paper for the first time. Different from the traditional continuous control method, impulsive control only acts on the systems at discrete impulsive moments, so it has the advantages of low control costs, fast response speed and strong adaptability. In addition, by the impulsive protocol, the state information of all neighboring agents is used to update their own state at impulse instants. Based on the graph theory and Lyapunov stability theory, some sufficient consensus criteria are given. Finally, the correctness of theoretical results is illustrated by numerical simulation.
Research on precision marketing of banking based on improved collaborative filtering algorithms
Authors: Bian Yuning , Li Yeli , Zeng Qingtao , Sun Yanxiong , Yu Linxuan , He Wei 
Published: February 2020

Abstract
With the rapid development of the Internet, the banking industry is facing great challenges. How to attract more customers under the huge impact of the Internet is the most important issue for banks to consider. In the context of big data, banks are using a variety of means to collect data and build their own customer portraits to adjust their marketing strategies. This article provides an improved collaborative filtering algorithm --- time-related similarity calculation method. This improved collaborative filtering algorithm can provide a new reference for the bank’s precision marketing.
A compact Robot-based defect detection device design for silicon wafer
Authors: Chen Xiaoyan , Zhao Chundong , Chen Jianyong , Zhang Dongyang , Zhu Kuifeng , Su Yanjie 
Published: February 2020

Abstract
With the development of semiconductor chips manufacturing, the quality of chips are required to a higher level. At present, as a key element of chip produce process, wafer surface defect detection is a hard challenge for operators, as manual detection accuracy and efficiency are depend on such factors as visual fatigue and inspection error. This paper proposes a defect detection approach for silicon wafer and designs a control system. The system takes PLC as the control core in charge the communication of the PC and the robots, which carries out the logical control instruction. The silicon wafer images are taken by a high precision camera, and processed by the algorithms and the defect elements central coordinates are output to robots. The four-axis robots are driven by the servo motors to mark the defective elements. In order to improve work efficiency, two robots were designed to cooperate to realize wafer transplanting and marking. The device runs smoothly and efficiently, and has prospecting application future.
Design and implementation of real-time robot operating system based on freertos
Authors: Shao Li , Wang Chuanxi , Chu Chong , Song Yinan , Hu Haoyu , Yang Yanan , Fei Wenyu , He Xiaoyang 
Published: February 2020

Abstract
With the advancement of artificial intelligence technology, the product of its integration with robots:intelligent robots, is appearing more and more in people’s lives and work. Compared to the single function of industrial robots, intelligent robots have the ability to perceive, recognize and decide on the outside world. In order to achieve these functions, data needs to be collected by various types of sensors, and then processed by various algorithms. The introduction of these modules has increased the complexity of the system. Therefore, in order to reduce the complexity between the functional modules, reducing the coupling between modules, and improving the code reuse rate of the functional modules has become an urgent task. This paper proposes an improved FreeRTOS operating system have a driver layer, a middleware layer, and a functional module layer. The experimental results show that the scheme can support the maximum 2000hz module response frequency and the Topic data throughput rate of 2K Bytes per second.
Research on Power Interface Algorithm of Power Hardware-in-the-loop Simulation for Isolated Operation of Modular Multilevel Converters
Authors: Zhan Rong-rong , Liu Long-hao , Zhao Yu-wei , Wei Ming-yang , Li Yanjun 
Published: February 2020

Abstract
A current source type power interface algorithm is proposed for the power hardware-in-the-loop (PHIL) simulation of modular multi-level converters (MMC) operating with an isolated gird such as a wind farm. To improve the stability and accuracy of hybrid simulation system, a virtual impedance and the running method is proposed for MMCs. A simulation model based on the proposed interface algorithm is established in MATLAB. The test results show that the hybrid simulation system maintains high stability and accuracy. At the power interface, the relative error of voltage is less than 2%, and the relative error of active power is less than 2%. The proposed power interface algorithm is applicable to MMCs operating with an isolated grid.
Energy-Saving Control of Induction Motor for Electric Vehicle Based on Online Parameter Estimation
Authors: Shengwen Fan , Shuya Dai , Ruizhi Li , Xinsen Zhang 
Published: February 2020

Abstract
In order to improve the problem of insufficient endurance mileages of pure electric vehicles, an energy-saving control strategy of induction motor based on the online parameter estimation is proposed. Considering the model of considering the iron loss of the stator of the induction motor, the loss minimization model is used to control the energy of the motor to reduce the steady-state loss of the motor. At the same time, an observer with the model reference adaptive system (MRAS) is designed to online estimated the rotor time constant and stator resistance of the motor, and reduce the influence of parameter variation on the loss minimization control, which makes the loss model more accurate and the energy-saving effect is more ideal. Finally, the control strategy is verified by simulation. The simulation results show that the energy-saving effect of this algorithm is obvious when the motor runs at a high speed under a light load.