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2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2013

作者： Huang, Qi Yao, Ruoting Li, Fuchao Zhen, Wei Sichuan Provincial Key Lab of Power System Wide-area Measurement and Control School of Energy Science and Engineering UESTC Chengdu China Sichuan Electric Power Research Institute Chengdu China

ISBN: (纸本)9781479908431

As the rapid development MEMS (micro-electromechanical systems) packaging technology and magnetoresistance material technology, MR (magnetoresistive) sensors based on magnetoresistance effect which can carry out point measurement of magnetic field may change the measurement techniques in power systems. The currently available fault location of overhead transmission line approaches are mainly based on traveling-wave technique and impedance-based measurement technique. The novel approach based on non-contact measurement of magnetic field is advantageous over traditional approaches in that it is independent of the distributed line parameters and has a location error smaller than one span. In this paper, after a brief reviewing of the whole system architecture, design of a sensor prototype and the associated monitoring software are presented, and tests are performed to verify the functionalities of the designed system. The sensor is developed based on a 3-D AMR (anisotropic magnetoresistance) sensor and the software supports GIS interface, making the fault location intuitively clear and convenient. © 2013 IEEE.

关键词： Location

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Representing-behavior-based online driving style recognition and its road verification

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engineering Applications of Artificial Intelligence 2025年 156卷

作者： Bingxian Li Yanfang Liu Junwei Zhao Xiangyang Xu Peng Dong Songbo Chen Xiaojun Wu Xuewu Liu Hongzhong Qi School of Transportation Science and Engineering Beihang University Beijing 100191 China Ningbo Institute of Technology Beihang University Ningbo 315832 China Beijing Key Laboratory for High-efficient Power Transmission and System Control of New Energy Beijing 100191 China GAC Automotive Research & Development Center Guangzhou 511434 China

—Driving style recognition (DSR) is a critical task for intelligent vehicles, providing a means to analyze drivers’ behavioral characteristics and understand their preferences. In this study, a representing-behavior-based DSR method is proposed. It is not only capable of distinguishing various driving styles but also adept at depicting their dynamic changes during a trip. Initially, three driving behavior datasets are extracted from natural driving data. Subsequently, a clustering metric called driving style distinction is introduced to assist the k-means algorithm in searching for driving style representing behaviors (DSRBs) within these datasets. Considering the impact of input features on clustering, a genetic-algorithm-based feature selection method is implemented to optimize the DSRB search. Upon completing this task, DSRB recognition models are built through supervised learning, enabling the calculation of a novel metric called the driving style index, which describes driving styles in real time. A road test demonstrates the feasibility of the proposed method, establishing it as an effective solution for DSR problems.

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Analysis on Application of a Current-source Based DFIG Wind Generator Model

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CSEE Journal of power and Energy systems 2018年第3期4卷 352-361页

作者： Jin Ma Dawei Zhao Liangzhong Yao Minhui Qian Koji Yamashita Lingzhi Zhu School of Electrical&Electronic Engineering North China Electric Power University(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources)Beijing 102206China Renewable Energy Research Center China Electric Power Research Institute(State Key Laboratory of Operation and Control of Renewable Energy&Storage SystemsJiangsu Engineering Technology Research Center for Energy Storage Conversion and Application)Nanjing 210003China Power System Sector Central Research Institute of Electric Power IndustryTokyo 201-8511Japan

Models for simulation are vital for the authenticity of the *** doubly fed induction generation(DFIG)for power system stability analysis has attracted a great deal of research interests in the past few years due to the wide applications of DFIG in wind power *** models developed by the wind generator manufacturers are not only complicated,but also proprietary and very specific to their own *** simplified generic models have been *** them,the current-source based model is most widely used for power system stability *** validation work on this model so far has been based on the selected simulation scenarios or limited real ***,there has been no systematic and theoretic analysis on the validity of the current-source based model,which may cause inappropriate applications of this type of model in real engineering *** paper presents the conditions for using the current-source based model for power system stability analysis;then examines the model’s validity under symmetrical and asymmetrical fault *** practices for modeling and validating a real wind farm in North China confirm the validity analysis of this work on the current-source based DFIG model.

关键词： Applicationanalysis current-source doublyfed induction generation(DFIG) modelvalidation

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Effect of ambient pressures on laser-induced breakdown spectroscopy signals

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Frontiers of physics 2024年第4期19卷 243-256页

作者： Kaifan Zhang Weiran Song Zongyu Hou Zhe Wang State Key Laboratory of Power System Operation and Control Tsinghua-Rio Tinto Joint Research Centre for ResourcesEnergy and Sustainable DevelopmentInternational Joint Laboratory on Low Carbon Clean Energy InnovationInstitute for Carbon NeutralityDepartment of Energy and Power EngineeringTsinghua UniversityBeijing 100084China Shanxi Research Institute for Clean Energy Tsinghua UniversityTaiyuan 030032China

Laser-induced breakdown spectroscopy(LIBS)is regarded as the future superstar for analytical chemistry and widely applied in various *** the quality of LIBS signal is fundamental to achieving accurate quantification and large-scale commercialization of *** propose control methods that improve LIBS signal quality,it is essential to have a comprehensive understanding of the influence of key parameters,such as ambient gas pressure,temperature,and sample temperature on LIBS *** date,extensive research has been carried ***,different researchers often yield significantly different experimental results for LIBS,preventing the formation of consistent *** greatly prevents the understanding of influencing laws of key parameters and the improvement of LIBS quantitative *** ambient gas pressure as an example,this paper compares the effects of ambient gas pressure under different optimization conditions,reveals the influence of spatiotemporal window caused by inherent characteristics of LIBS signal sources,i.e.,intense temporal changes and spatial non-uniformity of laser-induced plasmas,on the impact patterns of key *** the perspective of plasma spatiotemporal evolution,the paper elucidates the influence patterns of ambient gas pressure on LIBS signals,clarifying seemingly contradictory research results in the literature.

关键词： laser-induced breakdown spectroscopy spatiotemporal window pressure condition signal uncertainty plasma modulation

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An Automotive Headlight Leveling control Strategy with Rough Road Identification 42

An Automotive Headlight Leveling Control Strategy with Rough...

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42nd Chinese control Conference, CCC 2023

作者： Zhao, Xinyi Zhao, Linhui Deng, Zhichong Ji, Guohuang Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China Intelligent Power System Co. Ltd. Wuhan430056 China

ISBN: (纸本)9789887581543

The Automotive Headlamp Leveling system (ALS), aims to ensure the stability of the illumination range of the headlamp by vertically rotate the headlamp using motors when the body attitude changes. This paper proposes an ALS scheme which obtains the body attitude from body height sensors and accordingly calculates the output angles of left headlamp and right headlamp respectively based on Euler transformation. Different from existing ALS, this scheme uses several strategies to improve the performance of ALS, including anti-shake function, working mode division and rough road identification. The purpose of rough road identification is to avoid unexpected vibration of headlamp caused by ALS on rough road and decision tree model is chosen for identification to improve the accuracy. Moreover, several field tests are performed to verify the validity and stability of the system. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Decision trees

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Incorporating empirical knowledge into data-driven variable selection for quantitative analysis of coal ash content by laser-induced breakdown spectroscopy

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Plasma Science and Technology 2024年第7期26卷 148-156页

作者：吕一涵宋惟然侯宗余王哲 State Key Laboratory of Power System Operation and Control International Joint Laboratory on Low Carbon Clean Energy InnovationDepartment of Energy and Power EngineeringTsinghua UniversityBeijing 100084People’s Republic of China School of Energy and Electrical Engineering Qinghai UniversityXining 810016People’s Republic of China Tsinghua University Shanxi Research Institute Clean EnergyTaiyuan 030032People’s Republic of China

Laser-induced breakdown spectroscopy(LIBS)has become a widely used atomic spectroscopic technique for rapid coal ***,the vast amount of spectral information in LIBS contains signal uncertainty,which can affect its quantification *** this work,we propose a hybrid variable selection method to improve the performance of LIBS *** variables are first identified using Pearson's correlation coefficient,mutual information,least absolute shrinkage and selection operator(LASSO)and random forest,and then filtered and combined with empirical variables related to fingerprint elements of coal ash ***,these variables are fed into a partial least squares regression(PLSR).Additionally,in some models,certain variables unrelated to ash content are removed manually to study the impact of variable deselection on model *** proposed hybrid strategy was tested on three LIBS datasets for quantitative analysis of coal ash content and compared with the corresponding data-driven baseline *** is significantly better than the variable selection only method based on empirical knowledge and in most cases outperforms the baseline *** results showed that on all three datasets the hybrid strategy for variable selection combining empirical knowledge and data-driven algorithms achieved the lowest root mean square error of prediction(RMSEP)values of 1.605,3.478 and 1.647,respectively,which were significantly lower than those obtained from multiple linear regression using only 12 empirical variables,which are 1.959,3.718 and 2.181,*** LASSO-PLSR model with empirical support and 20 selected variables exhibited a significantly improved performance after variable deselection,with RMSEP values dropping from 1.635,3.962 and 1.647 to 1.483,3.086 and 1.567,*** results demonstrate that using empirical knowledge as a support for datadriven variable selection can be a viable approach to improve the acc

关键词： laser-induced breakdown spectroscopy(LIBS) coal ash content quantitative analysis variable selection empirical knowledge partial least squares regression(PLSR)

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Deterioration analysis of large-scale fan in power plant using factor analysis

Deterioration analysis of large-scale fan in power plant usi...

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2011 International Workshop on Computer Science for Environmental engineering and EcoInformatics, CSEEE 2011

作者： He, Qing Zhao, Xiaotong Zhang, Jianding Huang, Xiaobin National Engineering Laboratory for Biomass Power Generation Equipment School of Energy Power and Mechanical Engineering North China Electric Power University Beijing 102206 China Division of Power System China Electric Power Research Institute Beijing 100192 China School of Control and Computer Engineering North China Electric Power University Beijing 102206 China

ISBN: (纸本)9783642226939

Under the given operation condition, the operating parameters of large-scale fan vary according to certain rule. With the fan aging, the rule is changing. In order to find the rule of deterioration of condition parameters of fan, the factor analysis is used to analyze condition parameters of fan, which date from different period under the same operation condition. It is proved by the examples that factor analysis is suitable for analyzing fan deterioration. © 2011 Springer-Verlag.

关键词： Deterioration

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Coupling Analysis and Protection Design of Substation Grounding Grid and Surrounding Metal Pipe Grid 3

Coupling Analysis and Protection Design of Substation Ground...

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3rd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, SPIoT2023

作者： Wang, Tao Yuan, Haojie Zheng, Xuan Song, Mengqing Ma, Chenglian Shandong Electric Power Engineering Consulting Institute Co. Ltd. Jinan China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin China

When the substation grounding grid and part of the underground metal pipe grid are close to each other, the two produce resistive coupling, and the current of the transmission line will flow through the grounding body and through the soil to the buried pipe grid, which may break through the anti-corrosion layer of the pipe grid, and may burn the body of the pipe grid in serious cases;the underground metal pipe grid will also have an impact on the parameters of the grounding grid. To this end, this paper is based on the numerical calculation method of field-path coupling, combined with the actual situation of substation, using CDEGS and ETAP software to simulate and analyze the current dissipation process when a short-circuit fault occurs in the substation after the ground grid is put into operation under multi-layer soil environment, and to study the influence of resistive coupling between the grounding grid and the surrounding metal pipe grid during an industrial frequency grounding short circuit. Optimize the structure of the grounding system so that the contact voltage across and step voltage is lower than the safety limit to protect the personal safety in the station;at the same time, take certain protective measures to slow down the corrosion of the pipe grid. © 2023 Elsevier B.V.. All rights reserved.

关键词： Electric grounding

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Neural Network Approaches for Magnetization Surface Prediction in Switched Reluctance Motors: Classical, Radial Basis Function, and Physics-Informed Models 3

Neural Network Approaches for Magnetization Surface Predicti...

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3rd IEEE International Conference on Problems of Informatics, Electronics and Radio engineering, PIERE 2024

作者： Demidova, Galina Bogdanov, Andrey Iaremenko, Andrei Xirong, Zhu Chen, Hao Anuchin, Alecksey Moscow Power Engineering Institute Electric Drive Department Moscow Russia Itmo University Faculty of Control System and Robotics Saint-Petersburg Russia School of Electrical and Power Engineering China University of Mining and Technology Xuzhou China

ISBN: (纸本)9798331516321

This paper investigates the prediction of magnetization surfaces in Switched Reluctance Motors using three distinct methods: classical Neural Networks, Radial Basis Function networks, and Physics-Informed Neural Networks. The study utilizes experimental data from a 7.5 kW SRM to assess the performance of these approaches, with all methods implemented in Python. Among the methods analyzed, PINN demonstrates the highest accuracy in predicting the magnetization surfaces, effectively capturing the underlying physical behavior of the motor. The computational costs of each method are evaluated, providing insights into training times, inference speeds, and floating-point operations per sample. The findings reveal that while NN offers a reasonable balance between performance and efficiency, the RBF method excels in training speed but shows limitations in capturing the physical dynamics of the system. In contrast, the PINN not only delivers superior predictive performance but also emphasizes the significance of incorporating physical principles into machine learning frameworks. The results highlight the applicability of these methods across various types of SRMs, suggesting their potential for enhancing control strategies in electrical and power engineering applications. © 2024 IEEE.

关键词： Radial basis function networks

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Experimental comparison between aircraft fuel tank inerting processes using NEA and MIG

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Chinese Journal of Aeronautics 2018年第7期31卷 1515-1524页

作者： Lei SHAO Weihua LIU Chaoyue LI Shiyu FENG Chenchen WANG Jun PAN Key Laboratory of Aircraft Environment Control and Life Support of MIIT Nanjing University of Aeronautics and Astronautics Nanjing 210016 China College of Aeronautics Chongqing Jiaotong University Chongqing 400074 China Jiangsu Province Key Laboratory of Aerospace Power System Nanjing Engineering Institute of Aircraft Systems Nanjing 210016 China

Fuel tank inerting technologies are able to reduce the fire risk by injection of inert gas into the ullage or fuel, the former called ullage washing and the latter fuel scrubbing. The Green On-Board Inert Gas Generation system（GOBIGGS） is a novel technology based on flameless catalytic combustion, and owning to its simple structure and high inerting efficiency, it has received a lot of attentions. The inert gas in the GOBIGGS is mainly comprised of CO2, N2, and O2（hereinafter, Mixed Inert Gas（MIG））, while that in the On-Board Inert Gas Generation system（OBIGGS）, which is one of the most widely used fuel tank inerting technologies, is NitrogenEnriched Air（NEA）. The solubility of CO2 is nearly 20 times higher than that of N2 in jet fuels,so the inerting capability and performance are definitely disparate if the inert gas is selected as NEA or MIG. An inerting test bench was constructed to compare the inerting capabilities between NEA and MIG. Experimental results reveal that, if ullage washing is adopted, the variations of oxygen concentrations on the ullage and in the fuel are nearly identical no matter the inert gas is NEA or MIG. However, the ullage and dissolved oxygen concentrations of MIG scrubbing are always higher than those of NEA scrubbing.

关键词： Dissolved oxygen Experiment Fuel tanks Inert gases Mixed Inert Gas（MIG） Nitrogen-Enriched Air（NEA） Oxygen

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