bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research in system design of AC and DC distribution network based on flexible substation
Authors: Fu Shouqiang , Chen Xiangyu , Yang Lin , Liu Haijun , Song Jieying , Qi Huanhuan , Chen Lei 
Published: September 2020

Abstract
In recent years, distribution network is developing rapidly from current to future advanced form. Under the tendency, this article puts forward a new AC and DC distribution network technology based on flexible substation. There is no mature design experience and complete theory for designing, equipment manufacturing and engineering construction, etc. in this technology. In this paper, system design method of AC and DC distribution network based on flexible substation are given systematically. And design of overall system, key equipment parameters, control and protection are researched and discussed. All of the research results above are adopted in the first AC and DC distribution network demonstration project based on flexible substation. The paper will provide theoretical and experimental experience for system design in the future AC and DC distribution network projects.
Research on nondestructive measurement solving algorithm based on grid slice volume
Authors: Gan Yong , Luan Junkai , Zhang Qiufeng , Jia Cuiyun 
Published: September 2020

Abstract
In this paper, an improved discrete binary particle swarm optimization (BPSO) for large scale 0-1 integer programming is proposed. Firstly, a large-scale 0-1 integer programming model based on the multi-directional slice volume of the virtual grid element is constructed, and the optimization objective function is constructed to change the problem of solving the equations into the problem of seeking the optimal solution. Secondly, the 0-1 model intelligent solution algorithm based on the improved BPSO algorithm is designed, and the model solution system based on the grid slice volume measurement is designed. Finally, through the analysis of the experimental results, it shows that the improved discrete particle swarm optimization algorithm has a significant improvement on the convergence and calculation efficiency of the fitness function, which shows that the algorithm has a good optimization performance.
Design of “One-key” security measures system for smart substation
Authors: Jin Xinming , Ren Jiangbo , Bu Mingxin , Tan Chang , Chen Haibin , Geng Shaobo , Mao Jianzhong 
Published: September 2020

Abstract
With the continuous advancement of technology and the ever-increasing demand for information digitization in power systems, smart substations have become the most mainstream substations currently used in China. The secondary circuit and pressure plate of the intelligent substation are virtual forms constructed by internal software. There is no obvious electrical disconnection point, so there is a big difference in operation and maintenance and repair methods from conventional substations. Combined with the requirements of the intelligent station maintenance business, this paper proposes to deploy a “one-click” security system in the station control layer monitoring system of the intelligent substation. This system is only used as an additional module and does not depend on the software and hardware structure of the station control layer. It is of great significance to effectively improve the efficiency of intelligent secondary equipment operation inspection and better guarantee the safe and stable operation of the power grid.
Design of multi-parameter auto-detecting instrument system for hydrological hole pumping test based on single-chip microcomputer
Authors: Jiang Shanchao , Wang Liming , Yang Bengong 
Published: September 2020

Abstract
In order to meet the requirements of modern hydrogeo-logic investigation, one multi-parameter auto-detecting instrument system for hydrological hole pumping test based on single-chip microcomputer is designed. The pumping test system contains one lower computer module and one upper computer module. The lower computer module uses the STM32 single chip microcomputer as the central module of the controller, supplemented by the sensor module, the power module, the communication module and the display module to realize the automatic detection of the multi-parameters of the hydrological hole pumping test It can display the information of pumping speed, water level, water temperature and water flow in real time and realize the function of pumping timing switch. The upper computer module allows users to check hydrological hole pumping test information and control the whole system operation. The information transmission between the lower computer module and the upper computer module is completed by Narrow Band Internet of Things (NB-Iot). By analyzing the data of pumping test system after compensation, the max relative error of liquid level is all less than 1%. All these data confirm that the pumping test system proposed in this paper has certain application value.
Study on transient electric field of multi-layer composite insulation structure during polarity reversal
Authors: Zhang Shiling 
Published: September 2020

Abstract
Outgoing line device is an important structure of converter transformer. Multilayer composite insulation structure is widely used in the outgoing line device. Polarity reversal is special working state of converter transformer. In the process of polarity reversal, due to the influence of the space charge on the interface of composite insulation structure, there will be instantaneous high field strength, which threatens the normal operation of the outgoing line structure. In this paper, starting from the typical multi-layer composite insulation structure in the outgoing line device, the change rule of interface space charge and transient electric field in different polarity reversal time is analyzed under the condition of the equal temperature and temperature gradient. On this basis, the research object of the overall composite insulation structure of the outgoing line device is analyzed, and the change rule of the transient electric field in the process of polarity reversal is analyzed. The research in this paper can provide a theoretical basis for the development of the outgoing line structure of converter transformer.
Load reduction algorithm for power grid low-frequency optimization
Authors: Wang Shunjiang , Xu Huiwen , Pu Baoming , Ge Weichun , Liu Qianwei 
Published: September 2020

Abstract
Dynamic monitoring and effective control of system frequency is the key to ensure the normal operation of power system. In this paper, a hierarchical load shedding algorithm model is constructed, which can prevent the frequency from continuously decreasing when the system affects stability due to increased load, so as to avoid large area blackouts and system collapse. It is of great significance to the safe and stable operation of power system and the national economy. It has opened up a train of thought for studying the current system frequency control methods in smart grid.
Research on operational effectiveness evaluation based on information entropy method
Authors: Wang Jianjun , Yu Tao , Liu Xiaolin , Meng Su 
Published: September 2020

Abstract
In the face of the future systematic warfare pattern and the development demand of argumentation and demonstration of equipment system in China, it is of great significance to carry out the research of equipment system in order to realize the transformation from single platform technology advantage to combat system capability advantage. Equipment system integrates many factors, such as combat mission requirements, equipment operational capability and weapon operational allocation. In order to construct and optimize equipment system efficiently, it is often necessary to rapidly and dynamically evaluate the operational effectiveness of equipment system. Therefore, the scientific and effective evaluation method of operational effectiveness of equipment system has important reference value for optimizing the performance of weapons and equipment and choosing the direction of equipment pre-research.
False data injection attacks detection on power systems with convolutional neural network
Authors: Lu Min , Wang Lijian , Cao Zhangjie , Zhao Youguo , Sui Xiangyang 
Published: September 2020

Abstract
False data injection attack (FDIA) could manipulate measurement information collected by supervisory control and data acquisition (SCADA) system, which tempers with decisions of power grid and threatens the state estimation of smart grid. Aiming at the state estimation of smart grid, the principle of FDIA under the AC power flow model is studied and a FDIA detection model based on improved convolutional neural network CNN is constructed By adding the gate recurrent unit (GRU) to the fully connected layer in CNN, the CNN-GRU network is designed to train and update network parameters based on historical measurement data of power grid, and extract spatial and temporal characteristics of the data to implement efficient and real-time FDIA detector. Finally, in the IEEE 118 bus test systems, experiments are carried out to verify the effectiveness of the proposed method.
Software implementation of automatic fault identification based on the Duval Pentagon
Authors: Hu Hong , Wang Dong , Fu Jing , Mao Yanfang , Zhang Ziwei , Wu Denghai 
Published: September 2020

Abstract
Dissolved Gas Analysis (DGA) is one of the most widely used monitoring technology for oil immersed power transformers. The Duval Pentagon method is a graphic interpretation method of DGA. Besides the six typical faults usually interpreted by DGA, this method also can be used alone to bring auxiliary information about the internal faults of power transformers. Based on Duval Pentagon method, this paper presents a detailed software implementation process of automatic fault identification for power transformers. Moreover, this paper also offers clear threshold conditions which indicate the abnormality of DGA results before applying the Duval Pentagon method to improve the practical use of this DGA interpretation method. Thus, the program developed by this paper can provide a commercial system of DGA interpretation.
The multi-objective optimal allocation method of static var compensator based on transient voltage security control
Authors: Zhu Yongchang , Liao Weiping , Nie Chunhong , Xie Wuchao , Xu Jianxiong , Li Yun 
Published: September 2020

Abstract
Based on the detailed consideration of the dynamic characteristics of Static Var Compensator (SVC), the mathematical method for installing location and optimal capacity of SVC considering transient voltage security is proposed. Firstly, the trajectory sensitivity index is used to determine the key fault set and SVC candidate location. Then, transient voltage security constraint of the bus voltage is restored to 0.75pu within 1s and the bus voltage is restored to 0.9pu within 3s after remove fault, Finally, considering the transient voltage recovery characteristics and dynamic characteristics of SVC, the minimum of bus voltage deviation after fault removed and minimum of installtion capacity of SVC as objective function for hybrid optimal allocation model. The bus voltage and capacity of SVC are introduced as variables into the Crisscross Optimization Algorithm (CSO) for solving. The effectiveness of the proposed SVC installation location and capacity optimization method is verified by the time domain simulation of the IEEE39-bus system.
Vital signs monitoring system based on piezoelectric film sensors
Authors: Xu Jiyong , Wang Yan , Li Bin , Bian Lipan 
Published: September 2020

Abstract
The demand for health services for the elderly has become an urgent problem to be solved. In order to solve the problems of elderly people who are prone to sudden disease during sleep, difficulty in night care, and the unconstrained requirements for health monitoring, an unconstrained vital signs mattress monitoring system was proposed. An intelligent mattress with built-in thin film piezoelectric sensors was developed to realize the real-time monitoring of vital signs such as heart rate, respiratory rate and body movement state. At the same time, medical and health resources are integrated to provide personalized and precision health care services for the elderly including safety monitoring, health management, etc. and build a smart health and elderly care service system. The experimental application shows that the system can effectively prevent accidents, improve both the efficiency of care and the level of health care services.
Research on full-bridge LCL resonant converter as constant current source in the ZVS condition
Authors: Xue Tao , Hu Xiangnan , Fang Chun’en , Zeng Chunyan , Fu Xuhui , Zhang Ning , Chen Junping 
Published: September 2020

Abstract
A LCL-based resonant converter is shown to behave as a constant-current source when operated at resonant frequency in this paper. This paper focuses on the realization of zero voltage switching (ZVS) in the case of constant-current in LCL resonant converter and how to reduce the influence of high harmonics on the output current. First, the principle of LCL resonant converter as a constant-current source is described. Second, when the switching frequency of the converter deviates from the resonant frequency point, the current gain curves corresponding to different quality factor Q and the boundary curves realizing ZVS turn-on are analyzed. Third, the influence of the ratio (m) of resonant inductors on the output current of the converter and ZVS turn-on is analyzed, and the value of m is determined. Finally, Pexprt software was used to design the magnetic component model, and combined with Simplorer software for combined-simulation. A simulation circuit model with output 80W/0.32A was designed and experimental results are presented. The correctness of the theoretical analysis has been verified.
Low signal-to-noise ratio speech classification with wavelet
Authors: Huang Yeguang , Peng Yifen , Zhao Wenjing , Cao Zhong 
Published: September 2020

Abstract
This paper evaluates the potential of wavelet in low signal-to-noise ratio (SNR) speech classification. A wavelet feature extraction method is proposed, which includes wavelet analysis, wavelet denoising and sliding variance. The potential of wavelet feature extraction method is evaluated on two different datasets with Convolutional Neural Network. The results of our model and comparation show that the performance is significantly improving comparing with other state-of-the-art approaches.
A function detection method of MMC SM in VSC-HVDC
Authors: Chen Kun , Yao Qixin , Ye Pangqi , Dai Weiqian , Wang Ting 
Published: September 2020

Abstract
Aiming at the problems of large workload, low efficiency and incomplete function coverage in the maintenance process of VSC-HVDC project, this paper studies the SM detection technology of MMC. Firstly, it analyzes the background and significance of this research, then based on the elaboration of the working principle of SM, a SM function detection method is proposed. This method can not only realize the automatic detection of multiple mmc-sms, but also cover all the power components except the thyristor of SM, which greatly simplifies and improves the detection steps and efficiency. The feasibility and effectiveness of the method are verified by simulation analysis.
Speed sensorless control employing adaptive sliding mode adjustable model MRAS for induction motors at low speed range
Authors: Li Jie , Wang Dong , Yang Xiaoxiao 
Published: September 2020

Abstract
For the sensorless speed control of induction motors, at low speed range, there exist the common problems such as low speed estimation accuracy, weak loading capacity and poor dynamic performance. When the flux-based model reference adaptive system methods are adopted, the performance of the flux estimation will determine the accuracy of the speed estimation to a large extent. In this paper, an adaptive sliding mode observer was introduced to replace the adjustable model of the traditional model reference adaptive system. The adaptive gain is designed in order to estimate the flux more accurately, and a new speed adaptive law is proposed to improve the dynamic performance and the accuracy of the speed estimation at low speed range. Simulation results verify the correctness and effectiveness of the proposed method.
Multi-objective flexible job shop scheduling problem with triple bottom line theory-based sustainable objectives
Authors: Cao Ya , Zhang Zhenzhong , Guo Zhaoxia 
Published: September 2020

AbstractThe triple bottom line theory (TBL) is widely used in the field of sustainable development research. Based on the triple bottom line theory, this paper investigates a multi-objective flexible job shop scheduling problem with the consideration of sustainable objectives. A multi-population evolutionary algorithm with single-objective guide (MPEA/SG) is modified to solve this problem effectively by extending the MPEA/SG to discrete optimization problems. Our experiments show that considering TBL-based objectives in job shop scheduling is more conducive to the sustainability of the production process, and can effectively reduce the carbon footprint, E/T penalty cost and income difference.
Flow field simulation of grain milling based on fluent
Authors: Mo Haijun , Ling Tao , Hong Rongbin 
Published: September 2020

Abstract
In order to study the flow field characteristics and pressure distribution in the grinding chamber during the working process of the grain milling machine of the grain mill, explore the influence of different working parameters of the milling mechanism on the milling effect, and study the use of Fluent to move the milling mechanism. The numerical simulation of the grinding flow field under different working parameters such as 750 r/min, 1000 r/min, 1500 r/min and feeding speeds of 0.5 kg/min, 0.75 kg/min and 1 kg/min were carried out. The results show that the dynamic pressure contour in the flow field is distributed in a ring shape, and its value increases as the radius of the grinding disc increases and the disc gap decreases. When the shape of the grinding disc changes, the dynamic pressure value will increase sharply, that is, the pressure of the powder particles increases, and it is more likely to be broken. Therefore, the shape of the grinding disc can be changed to increase the dynamic pressure and improve the grinding effect. When the disc clearance is 0.05 mm, the optimum grinding effect is obtained when the rotating disc speed is 1500 r/min, and the maximum grinding speed is between 0.5 kg/min and 0.75 kg/min.
Multi-equipment maintenance decision-making method for high temperature reactor based on maintenance event correlation
Authors: Che Shuping , Gao Jianyong , Zhang Yanpeng , Geng Jie 
Published: September 2020

Abstract
The composition of the high temperature reactor system is complex, effective maintenance management strategy can reduce the number of shutdowns and reduce maintenance costs during the operation of the equipment and caused by deterioration, improve system reliability, and also avoid system failures, maintain or restore the system to the most appropriate standard of reliability, availability and safety. This paper proposes a methodology on maintenance decision making with target of minimal downtime by analyse the associated relationships of different maintenance activities to realize merge maintenance.
Study on straightness prediction of centerless grinding of slender rod based on PCA and Markov
Authors: Chen Xinchun , Ding Peng , Wang Can , Yan Naiqing 
Published: September 2020

Abstract
In order to optimize the processing parameters of slender rods and achieve high-precision machining, a method of straightness prediction of centerless grinding based on PCA and Markov is proposed. A straightness measuring device for slender rod is developed to collect data. The accumulated straightness data is divided into typical processing conditions. The parameters that affect the straightness of centerless grinding of slender rod are analyzed based on PCA. According to the correlation between the parameters and the degree of influence on the straightness, the construction of the processing conditions is further simplified. On this basis, the straightness prediction model based on PCA and Markov is established to predict the processing conditions of centerless grinding of slender rods. Taking the centerless grinding of the piston rod of a hydraulic cylinder as an example, the machining experimental research is conducted. The predictive value is compared with the actual measured value, and the result shows that the average error rate is 3.94%, which indicates the effectiveness of the prediction method and meets the needs of actual production. This study provided technical support for parameters optimization of centerless grinding of slender rods parameter optimization and high-precision machining.
In Situ estimate of ultimate tensile strength for part optimization in extrusion-based additive manufacturing
Authors: Gooshki Sadegh Nouri , Hough Fabian , Limoge Damas W , Nirmaleswaran Aswin Raghav , Pinsky Vadim , Putman Matthew 
Published: September 2020

Abstract
Uncertainty in the final mechanical characteristics of an extrusion-based additive manufacturing process is a major challenge for the field. Estimating these mechanical characteristics of the specimen during printing can save cost and resources, allowing for the application of optimization methods to correct for natural error. We propose a deep learning based computer vision approach to continuously estimate the tensile strength using recent images of each printed layer, and acting to critique the efficacy of the extrusion process. This predictive model is useful for in situ part optimization, maximizing the output prediction.
Simulation study on steel pipe deformation behavior in retained mandrel pipe mill
Authors: Zhang Dazhi , Guan Mingsheng , Zhang Qingdong , Wang Aiguo , Zhou Xinliang 
Published: September 2020

Abstract
Continuous rolling technology of seamless steel pipe is the leading technology in the production of steel pipes in recent years. However, due to the complicated pipe rolling process, the rolling parameters must be adjusted according to the rolling conditions after many trials of rolling. This paper focuses on a Φ180mm retained mandrel pipe mill, and the continuous rolling process finite element analysis model of seamless steel pipe is established by using ABAQUS software. The finite element model is validated by the measured wall thickness and pipe diameter data of industrial production, and the model is designed to reveal the evolution of rolling pressure distribution, metal flow, strain, wall thickness and pipe diameter during the continuous rolling process. The simulation results support key structural design of the rolling mill, the determination of rolling process parameters and the optimization of process parameters in engineering commissioning.
Microcracks UHMWPE assessment using the wavelet transform
Authors: Pérez-Martínez Israel , Torres-San Miguel Christopher René , Rodríguez-Martínez Rafael , Murillo-Martínez Cesar 
Published: September 2020

Abstract
Previous studies have indicated that one of the main problems in the prosthesis inserts of ultra-high-molecular-weight polyethylene UHMWPE, is the destruction apparently by delamination, due to wear. Fatigue in polymeric materials is the leading cause of failure due to the cyclic or random application of the load in a component. Damage inspection techniques, such as ultrasound and microtomography, are used to detect internal microscopic damage. However, the high cost of these two techniques allows us to propose new inspection methods. The present work shows a simulation of signal processing techniques, as well as the use of the wavelet transform to obtain a representative image of the possible emergence of microcracks. The results show a low-cost test of the acoustic impedance contrasts, which represent the changes in velocity propagation in the medium, which translates into cracking.