bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-terminal Detection and Localization of Partial Discharge in Transformer
Authors: Li Yang , Tang Zhiguo 
Published: June 2022

Abstract
The transformer is the key equipment in the power system, and partial discharge is the main reason for the deterioration of the insulation of the transformer. The existing partial discharge detection method cannot determine whether the discharge comes from the transformer body or the peripheral equipment of the transformer when the discharge signal is detected. In order to study the difference between the internal and external partial discharges of the transformer received signals at the detection end and form an effective positioning method, this paper injects high frequency small signals into the external leads, inside the windings and surrounding screens of the 110kV three-phase double-winding transformer to simulate the external discharge of the transformer, the discharge inside and outside of the windings. The research shows that the first wave polarity of the external discharge and the internal non-winding discharge of the transformer is the same at each detection terminal, and the first wave polarity of the winding discharge signal at each detection terminal is different. The polarity information can be used to judge whether the winding discharges; the external discharge is the same as the transformer internal discharge. Non-winding discharge has different proportions of high-frequency and low-frequency components in each detection terminal signal. The signal energy of each detection terminal of external discharge is concentrated in low frequency, and the signal energy of each detection terminal of non-winding discharge inside the transformer is concentrated in high frequency, which can be judged by frequency domain information. The external discharge and the internal non-winding discharge of the transformer provide a reference for the research on the multi-terminal detection and positioning of the transformer.
Research on Improvement of Substation Monitoring Capability Based on AI Algorithm
Authors: Zheng Runlan , Niu Ben , She Chuyun , Gao Demin 
Published: June 2022

Abstract
The limitations of video surveillance in traditional substations have a serious impact on the intelligent monitoring of substations. In order to improve the level of monitoring intelligence, this paper conducts research on the improvement of substation monitoring capabilities based on AI algorithms. First, it analyzes the low pixels of video surveillance and the problems existing in the monitoring system, and then provides hardware support through ARM-based CPU and deep learning algorithms. Improve the recognition ability of pictures, and then solve the problem of low pixels and reduce the pressure of data processing. Finally, the effectiveness of the method in this paper is verified by the actual operation field test.
Design And Implementation Of Real-time Vehicle Speed Monitoring Device For Front And Rear Vehicles
Authors: Wei Conghao , Lin Ni 
Published: June 2022

Abstract
A real-time vehicle speed monitoring system is designed based on the millimeterwave radar sensor.This paper details the system design scheme, hardware composition and core algorithm.On this basis, the physical monitoring system is set up.After testing, the scheme design of the system is reasonable and feasible.Compared with the traditional car itself speed detection system, the system has the characteristics of simple structure, novel and easy to realize, and can be widely used in the future intelligent vehicle field.
Analysis of Combined Resistive Superconducting Current Limiter
Authors: Wu Boxiang , Zhang Baoge , Hou Bodun , Sun Rui , Ping Shanyan , Jiao Yuemin 
Published: June 2022

Abstract
Based on a brief analysis of the discovered quench mechanism and basic model of the resistive superconducting current limiter, in order to alleviate the defects of the conventional resistive superconducting current limiter, a Combination of fault current limiting operating modes of the current transformer. A custom model of resistive superconducting current limiter was built on the PSCAD/EMTDC simulation platform, and based on a 200kV DC transmission system, the influence of the combined operating mode resistive superconducting current limiter on the circuit was studied, and it was shown that the Define the correctness and necessity of the model. The simulation results show that the resistive superconducting current limiter in the combined operation mode can effectively suppress the short-circuit fault current, reduce the system’s requirements for the breaking capacity of the DC circuit breaker, and improve the safety of the system operation.
Research on integrated test technology of relay protection device based on cloud-edge collaboration
Authors: Wang Junkang , Wang Jiayi , Wu Jishun , Wang Weidong , Liu Yejie , Ba Quanke 
Published: June 2022

Abstract
The relay protection debugging of smart substation is limited to single unit test. For the intelligent equipment across bays, it can only be tested in batches and one by one, and there is no means to test the integrated system of bus and main transformer with multiple bays. This paper proposes an integrated test technology of intelligent substation based on cloud-edge collaboration. Build an integrated test system based on cloud edge collaboration, which is cross bays, multi intelligent devices and remote vertical connection. Open up the test island of single equipment. Establish equipment signal acquisition and output, multi-protocol access of edge equipment, unified cloud management and process monitoring system. It can realize the value integration of high-quality resources such as substation managers, testers and test expert database. This method improves the testing comprehensiveness, pertinence and timeliness.
Research on automatic scanning method of network vulnerabilities in power system
Authors: Sun Meng , Wang Qi , He Jue , Huang Huailin , Huang Yu , Shen Xiaojie , Xiao Yaohui , Fan Suchun 
Published: June 2022

Abstract
Power system network is an important guarantee for the smooth operation of power enterprises. Considering the current automatic network vulnerability scanning method of power system, the detection rate of network vulnerability scanning is low due to its poor scheduling ability. Therefore, this paper designs a new automatic scanning method for network vulnerabilities in power system. According to the infrastructure of power system network vulnerability scanner, the power system web page interaction behavior recognition model is constructed to complete the power system web page interaction behavior recognition. On this basis, the power system network scanning scheduling algorithm is designed. Combined with genetic algorithm, the variation process of power system network vulnerabilities is determined, the power system network security situation is determined, the power system network scanning scheduling and vulnerability mining are realized, and the design of power system network leakage automatic scanning method is completed. The experimental link is constructed to verify this method. The verification shows that this method can effectively improve the detection rate of network vulnerability scanning and the efficiency of vulnerability scanning to a certain extent.
FPGA-based multi-channel thermocouple temperature measurement system
Authors: Liang Xiyin , Cai Miao , Ma Muqi , Lu Xiao , Fu Peng , Li Ke 
Published: June 2022

Abstract
Aiming at the high and low temperature test requirements of spacecraft before being sent into space, this paper designs and implements a multi-channel thermocouple temperature measurement system based on FPGA.The system adopts thermocouple as temperature sensor, and ADT7310 is used as thermocouple cold junction temperature compensation, which solves the problem of thermocouple cold junction compensation better.The front end adopts AD7193, a 24-bit analog-to-digital converter with low noise, multi-channel and low power consumption, to amplify and A/D convert the signal at measuring junction of thermocouple.The control core is a field programmable logic gate array FPGA, which can better solve the problem of parallel processing of multi-channel temperature signals. At the same time, it uses the transposition method of the thermocouple standard graduation table, the interpolation look-up table algorithm and the cold junction compensation reverse look-up table algorithm, which is effective The temperature measurement accuracy of each channel is improved.The experimental results show that the system can be connected to 24 K-type or T-type thermocouple sensors, the measurement range can reach -200°C∼220°C (73.15K∼493.15K), and the relative error is less than ±0.3%F.S.
Design of a precise current source with adjustable frequency for AC-FSM
Authors: Duan Rujiao , Yang Xuyun , Qi Yonggang , Liu Zhe 
Published: June 2022

Abstract
AC-FSM is a new technology of external monitoring the internal corrosion for oil and gas pipelines. The current source stability of the FSM equipment is one of the important factors affecting the monitoring accuracy. According to the equipment requirements, a precision current source with adjustable frequency is designed. With C8051MCU as the control core, DAC conversion and differential amplifier are used to control the frequency and the current amount. The experiment shows that the output of excitation power supply has good consistency, the changing range was less than 0.3 %. When the temperature changes, under the condition of low frequency 5Hz, the change of current is less than 0.5 %, under the condition of high frequency 102Hz, the change of current is less than 0.4 %, which avoids the influence of temperature drift. This equipment is suitable for the long period operation of oil and gas pipelines in the field.
Design and Implementation of Single-phase Power Quality Monitor Based on IM1281B
Authors: Liu Zhenmin , Mei Erzhao , Fan Jingfeng , Zhang Yifei 
Published: June 2022

Abstract
In order to better analyze the influence of electrical equipment on power grid fluctuations, a detection system is designed for power quality monitoring. The system uses 51 single-chip microcomputer as the control core, combined with IM1281B single-phase mutual inductance energy metering module, to collect real-time voltage RMS, current RMS, power factor, apparent power, active power and other electrical parameters of electrical equipment connected to the grid. The standard Modbus-RTU is used for communication between IM1281B and the single-chip microcomputer, which realizes the real-time acquisition and processing of multiple electrical parameters of the electrical equipment connected to the power grid. The experimental results show that, the single-phase power quality monitor designed based on IM1281B is simple in structure, and relatively complete in collecting electrical parameters, which can meet the needs of power quality analysis.
Simulation and Fault Diagnosis of Electric Vehicle DC/DC Converter Based on BP Neural Network
Authors: Liu Yaning , Li Xiaopeng , Duan Xiuzhen 
Published: June 2022

Abstract
In recent years, Power electronic systems (such as DC/DC converters) have become more complex due to their needs. Under a series of harsh operating environments such as high temperatures, they are likely to fail, seriously endangering people’s property safety.This paper focuses on the research on the structure principle and fault diagnosis of the DC/DC converter system of electric vehicles, and introduces the structure principle of the electric vehicle DC/DC converter and the development of power electronic fault diagnosis.And the fault diagnosis method of DC/DC converter system is proposed. Finally, the research on fault diagnosis of DC/DC converters is summarized and prospected, hoping to provide new ideas and perspectives for the research and development of fault diagnosis of DC/DC converters for electric vehicles.
Design and Research of the H-bridge inverter system Based on IGBT
Authors: Qi Liang , Zhang Haiyan , Chen Jianghong 
Published: June 2022

Abstract
The paper mainly proposes the design and evaluation method of H-bridge inverter from two aspects of the electrical and thermal performance for the development of the H-bridge inverter system. Firstly, a design method is proposed and used for the H-bridge circuit, which is based on the surge voltage of the the insulated gate bipolar transistor(IGBT) in the condition of turning-off; Otherwise, the thermal resistance equivalent circuit of H-bridge inverter system is analysed, and a method is utilized to calculate the energy loss and temperature rise of the system; Finally, the availability and feasibility of the proposed method and the designed system is verified by the experiments.
A Carrier-free Miniaturized Ka-band T/R Module Design for Easy Automatic Assembly
Authors: Li Jiangjiang , Bai Fengjuan , Xv Yifei 
Published: June 2022

Abstract
A Ka-band four-channel T/R module for electronic scanning array radar is proposed in this paper, which is small in size, lightweight, easy to produce, and has good channel consistency. Adopting the open cavity design on both sides, the microwave signal and the power signal are completely isolated in space with good electromagnetic compatibility characteristics. Moreover, a “carrier-free” assembly scheme is proposed in this design, which removes the thermal matching carriers at the bottom of the MMIC chips used in traditional modules, simplifying the assembly process and achieving a high automation rate. The reliability of the scheme is verified by rigorous temperature shock and random vibration tests. The overall size of the module is 50 mm*84 mm*9.2 mm, and the weight of a single channel is only 17.5 g. The transmit saturated output power is greater than 21.5 dBm, and flatness is less than 0.8 dB. The receiving increase is greater than 7.5 dB, and flatness is less than 1 dB. The noise figure is better than 5.5 dB. The design ideas proposed in this paper have good generalization in the design of low-power T/R module.
A Novel Channel Coding Scheme by Concatenating LDPC with BCH for NAND Flash Memory
Authors: Li Hongyuan , Jiang Xiaobo , Yu Zhenghong , Zheng Wanjun 
Published: June 2022

Abstract
Insuring data reliability on NAND Flash Memory is an important research issue. As adopting a very powerful error-correcting code gradually becomes a strategic demand for the endurance of nowadays NAND Flash memory, Low Density Parity Check (LDPC) codes are recently proposed due to their outstanding error correcting capability. In this paper, a novel Channel Coding Scheme concatenated LDPC with BCH NAND Flash Memory is proposed. Firstly a particular LDPC code with low error floor is constructed and BCH codes are used to generate soft information for LDPC codes. Simulation showed that the proposed Channel Coding Scheme obtains the benefit of both overcoming difficulties of soft information generation and the compatiblity with existing BCH code. With the low error floor of constructed LDPC codes, the proposed Channel Coding Scheme can increase P/E cycles of NAND flash memory more significantly comparing the BCH code.
Optimal control strategy of global return power based on soft switching under triple phase-shift control
Authors: Cheng Weizheng , Wang Fusheng , Li Rui 
Published: June 2022

Abstract
Return power and soft switching are important performance indicators for dual active bridge DC-DC converters (DAB). Aiming at the problem that the DAB converter has a large return power under the traditional control strategy, a control strategy that optimizes the return power in the full power range is proposed, and on this basis, the soft switching range of the switching device is increased. The control strategy not only ensures the minimum return power in the entire power range, but also increases the soft switching range, reduces the switching loss, and further improves the efficiency. Finally, an experimental platform is built for verification, and the experimental results verify the validity of the theoretical analysis.
Radar Target Detection Based on Waveform Design under Atmospheric Attenuation
Authors: Hu Haofei , Fan Chongyi , Huang Xiaotao 
Published: June 2022

Abstract
Under the condition of atmospheric attenuation, the mismatch of radar echo signals leads to the decrease of signal-to-noise ratio (SNR) and detection probability. A joint optimization algorithm for transmitting signal and receiving filter of MIMO radar with atmospheric system response is presented in this paper. Considering the energy constraint, similarity constraint and spectral coexistence constraint of the transmitting signal, and introducing the atmospheric channel response matrix, the echo model under the atmospheric response condition is constructed. By optimizing the transmitting signal and the receiving filter, the echo signal SNR and radar detection probability can be improved. On this basis, the ARMA stochastic model is used to simulate the atmospheric system response. Solve non-convex problems by matrix optimization, positive semi-definite relaxation, Charnes-Cooper transformation, and loop optimization methods. Finally, the rank-one matrix decomposition method is used to extract the optimal signal from the signal autocorrelation matrix. And we analyze the convergence of the algorithm, the degree of SNR improvement and the detection probability. Through numerical experiments, it is proved that after the atmospheric channel response is introduced and matched correctly, the SNR of the echo signal can be improved and the radar detection probability can be greatly increased.
Research on The Accuracy Improvement Method of Angle Encoder based on Kalman Filter
Authors: Guo Yihe , Liu Dongdong , Wu Ning , Chen Saifeng 
Published: June 2022

Abstract
In order to improve the accuracy of the magnetic encoder, this paper analyzes the noise characteristics in output signal of magnetic Angle encoder in the real environment, a magnetic encoder based on Kalman Filter (KF) is proposed to solve the problem of random noise which affects the precision of magnetic encoder. The state equation based on the circular motion model is established, and the real-time voltage values of the two output signals are obtained under constant speed rotation of the motor, the angle errors calculated by the voltage signals before and after KF are compared and analyzed. The results show that the scheme can effectively reduce the random noise and improve the Angle accuracy by more than 50% at constant rotation speed. It is proved that the scheme is feasible in industry.
Research on dual antenna design of RFID sensor
Authors: Zhu Li , Yang Fan , Hu Xingyu , Wu Yiming , Yang Zikang , Li Xiaohan , Li Jiansheng 
Published: June 2022

Abstract
With the popularization and application of RFID sensors, the energy supply of internal circuits is a key problem. When multiple monitoring quantities are involved, the traditional energy extraction method of RFID sensors often leads to insufficient energy. Therefore, this paper designs an RFID sensor integrating acceleration and temperature sensing parameters, and proposes a cross placed dual antenna scheme. In order to increase the concentration of antenna radiation energy, a metal reflective aluminum plate is added. Through experimental tests, it is proved that the scheme can well optimize the radiation direction and performance of the antenna.
Design of Small Platform Sonar Data Acquisition and Storage System Based on NI-CRIO
Authors: Hao Yunbo , Kang Zhenwei , Zhao Honglin 
Published: June 2022

Abstract
The signal acquisition system is an important part of the sonar system. This paper presents a stable multi-channel underwater acoustic signal acquisition system based on NI-CompactRIO, aiming at the compact feature of the small platform sonar system. It realizes the simultaneous acquisition of multi-channel analog signals and the function of storing mass original data. The acquisition system basically comprises of sampling using the self-made acquisition module and storing using U disk. The software is programmed by LabVIEW. Finally, the stability of the system is verified by the experiment on the lake.
A high-precision harmonic distortion measurement algorithm and its system design based on time-domain matrix operations
Authors: Shao Kunming , Zhao Mingjian , Zheng Jiachun , Zeng Guangsen , Li Bin , Ma Biyun , Wu Zhaohui 
Published: June 2022

Abstract
In this paper, a harmonic distortion measurement algorithm and its system design based on time-domain matrix operations are proposed, which can quickly calculate the harmonic amplitudes, phases and total harmonic distortion of a signal. To realize the calculation of harmonic signal parameters in the time domain, we proposed a method to convert the nonlinear function representing the signal into a linear function, constructed a matrix equation, and solved the equation by the row transformation method, which significantly reduced the complexity of the algorithm. Finally, based on the proposed algorithm, a system design was implemented by the digital signal processing theory, and the measurements showed that the system achieves an amplitude error of nearly 1% and a THD error of less than 0.3% when measuring the generated 10 kHz fundamental with 5-order harmonics. The system can be used to measure and calculate the amplitudes and THD of harmonic distortion signals with high precision.
Data anomaly detection based on improved kernel density estimation
Authors: Wu Qiuyuan , Qiao Jiping , Wang Jinmian 
Published: June 2022

Abstract
With the advent of the era of big data, while machines process data instead of humans, timely detection of abnormal conditions in data through algorithms has become the focus of research, and the importance of data detection accuracy has also increased. Therefore, based on the traditional kernel density estimation theory, this paper adds adaptive diffusion equation theory to improve it, selects the best window width value to achieve a high degree of data distribution fitting, and further formulates detection rules. Finally, compared with other traditional detection methods, the results show that the method proposed in this paper can improve the accuracy and stability of abnormal data detection.
A nonfunctional data transformation approach via kurtosis adjustment and its application to SVM classification
Authors: Liu Yu 
Published: June 2022

Abstract
Many statistical methods are very sensitive to data containing outliers and heavy tails, and simply eliminating these data often does not achieve the desired results. We usually need to do some data transformation to make it approximately follow a normal distribution. But not all data can be transformed into a normal distribution, and then we can only adjust the shape of its data distribution to make its shape close to a normal distribution. The kurtosis of the distribution can better reflect the peakedness or flatness of the distribution. So in this paper, I propose a nonfunctional data transformation approach to improve the efficiency of statistical methods by continuously adjusting the kurtosis of the data while maintaining the distribution of the data. I apply the transformed data to SVM classification, and the numerical results show that the transformed data by my method performs significantly better than the untransformed data, as well as better than other comparable methods.