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Fast resistivity imaging of transient electromagnetic using an extreme learning machine

Soft Computing 2025年第2期29卷 1121-1131页

作者： Li, Ruiyou Zhang, Yong Li, Guang Li, Ruiheng Hu, Jia Li, Min School of Software and Internet of Things Engineering Jiangxi University of Finance and Economics NanChang330013 China School of Geophysics and Measurement Control Technology East China University of Technology NanChang330013 China School of Information Engineering Hubei University of Economics Wuhan430205 China The State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing University Chongqing400044 China

The transient electromagnetic method (TEM) is widely used in geophysical exploration. In TEM data interpretation, nonlinear inversion plays an important role. However, traditional TEM nonlinear inversion adopts the OCCAM imaging method, which merely presents the approximate shape of the stratum model, with poor inversion accuracy and much iteration time. To solve the above problems, a novel nonlinear inversion approach based on extreme learning machine (ELM) is proposed in this paper. The ELM is required to establish the input–output mapping relationship of the inversion network only once through the analytical method, which is different from the traditional neural network method that demands iterative gradient learning and is prone to fall into the local optimum. Moreover, the ELM inversion network by randomly assigning the hidden layer parameters is capable of mapping the observed TEM data and quickly producing resistivity images, which avoids time-consuming iteration and inversion calculations. The presented approach is applied to both synthetic and field examples. The results show that compared with the traditional nonlinear inversion algorithms (BP and OCCAM), the proposed method achieves better inversion accuracy and significantly reduces the calculation time, which verifies the effectiveness of the ELM algorithm for TEM data interpretation. Additionally, the research provides a new method and technology for TEM data inversion. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Electromagnetic transients

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H_∞ consensus control of a class of second-order multi-agent systems without relative velocity measurement

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Chinese Physics B 2010年第7期19卷 188-192页

作者：张文广曾德良郭振凯 Beijing Key Laboratory of Measurement and Control New Technology and System for Industrial Process Control & Computer Engineering SchoolNorth China Electric Power University School of Mathematics and Information Ludong University

This paper studies consensus control problems for a class of second-order multi-agent systems without relative velocity measurement. Some dynamic neighbour-based rules are adopted for the agents in the presence of external disturbances. A sufficient condition is derived to make all agents achieve consensus while satisfying desired H∞ performance. Finally, numerical simulations are provided to show the effectiveness of our theoretical results.

关键词： consensus control H∞ second-order multi-agent systems

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Data driven state detection algorithm for ash deposition detection

Data driven state detection algorithm for ash deposition det...

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2013 18th International Conference on Methods and Models in Automation and Robotics, MMAR 2013

作者： Liu, Jiwei Liu, Jizhen Deliang, Zeng Chang, Taihua Key Laboratory of Measurement and Control New Technology and System for Industrial Process North China Electric Power University Beijing China

ISBN: (纸本)9781467355063

A data driven state detection algorithm was proposed to improve the security and reliability of equipment. The algorithm is used for one class of objects whose state parameters change slowly and cumulatively in the long term. The concepts of multi-scale system, multi-scale entropy and multi-scale exergy were used to describe these processes. With the help of the algorithm, an ash deposition index for the radiant heating surface of a 600 MW unit was constructed to monitor the states of the instruments. Noise was analyzed. The results of simulation experiments demonstrate the effectiveness of the algorithm, which can provide a technical basis for condition maintenance. © 2013 West Pomeranian University of technology.

关键词： Exergy

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Modeling on SCR process of a coal-fired boiler using LSSVM method 27

Modeling on SCR process of a coal-fired boiler using LSSVM m...

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27th Chinese control and Decision Conference, CCDC 2015

作者： Yang, Tingting Chao, Cui You, Lv Jian, Li Key Laboratory of Measurement and Control New Technology and System for Industrial Process North China Electric Power University Beijing China

ISBN: (纸本)9781479970179

Selective catalytic reduction (SCR) is widely applied in coal-fired power plants. SCR process is a complex physical and chemical process with multi-input, strong coupling, nonlinear, and time delay characteristics. An effective model is the basis of conducting control and optimization. In this paper, influencing factors of catalytic reaction in SCR converter are analyzed and five measurable parameters are selected as the model input variables. NOx emission and NH3slip are separately taken as output variables. The LSSVM algorithm is employed to build the SCR models using real plant operation data from a 1000 MW coal-fired boiler. Simulation results have shown satisfied model accuracy and effectiveness are achieved. © 2015 IEEE.

关键词： coal-fired power plant data-driven model LSSVM selective catalytic reduction

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Modeling on SCR Process of a Coal-fired Boiler Using LSSVM method

Modeling on SCR Process of a Coal-fired Boiler Using LSSVM m...

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第27届中国控制与决策会议

作者： YANG Tingting CUI Chao LV You LI Jian Key Laboratory of Measurement & Control New Technology and System for Industrial Process(North China Electric Power University)

ISBN: (纸本)9781479970186

Selective catalytic reduction（SCR） is widely applied in coal-fired power *** process is a complex physical and chemical process with multi-input,strong coupling,nonlinear,and time delay *** effective model is the basis of conducting control and *** this paper,influencing factors of catalytic reaction in SCR converter are analyzed and five measurable parameters are selected as the model input *** emission and NHslip are separately taken as output *** LSSVM algorithm is employed to build the SCR models using real plant operation data from a 1000 MW coal-fired *** results have shown satisfied model accuracy and effectiveness are achieved.

关键词： selective catalytic reduction coal-fired power plant LSSVM data-driven model

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Study of sliding-mode control based grid-side PWM rectifier for wind power generation system under unbalanced input voltage condition

Study of sliding-mode control based grid-side PWM rectifier ...

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2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009

作者： Zhang, Jianhua Li, Xiaojun Hou, Guolian An, Xuemin Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University Beijing China

ISBN: (纸本)9781424428007

A sliding mode control scheme is presented in αβ frame for grid-side PWM rectifiers in wind power generation systems. The positive and negative sequence voltages are needed to design the controller, nevertheless, the positive and negative sequence currents are not needed. This scheme is compared with the dual current control scheme in the rotating frame d-q. The simulation results show that sliding mode control scheme can realize unit power factor operation when the amplitude is unbalanced. © 2009 IEEE.

关键词： Sliding mode control

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Electricity price forecasting using neural networks trained with entropic criterion

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7th International Symposium on Neural Networks, ISNN 2010

作者： Zhang, Jianhua Wang, Jingyue Wang, Rui Hou, Guolian Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University Beijing 102206 China

ISBN: (纸本)9783642129896

Accurate electricity price forecasting is critical to market participants in wholesale electricity markets. The problem becomes more complex because the acquired data series are non-linear and non-Gaussian. In this paper, Multi Layer Perceptrons (MLP) trained with minimizing error entropy (MEE) algorithm is utilized to forecast electricity price. Compared with the conventional MLP with mean square error (MSE) criterion, the proposed approach can achieve better performance in simulated examples. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Entropy

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Dynamic characteristics and predictive control for Organic Rankine Cycle

Dynamic characteristics and predictive control for Organic R...

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2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012

作者： Zhang, Jianhua Li, Ying Wang, Zhuofei Hou, Guolian Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University NCEPU Beijing China

ISBN: (纸本)9781457721175

Organic Rankine Cycle (ORC) is particularly suitable for the recovery of energy from low-quality heat sources. In this paper, a generalized predictive controller is proposed for a low-quality heat recovery process operating on an Organic Rankine Cycle. The simulation results show that the proposed control strategy can achieve good transient and steady response along with decoupling performance. © 2012 IEEE.

关键词： Waste heat

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Day-ahead Electricity Price Forecasting Based on Rolling Time Series and Least Square-Support Vector Machine Model

Day-ahead Electricity Price Forecasting Based on Rolling Tim...

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2011 China control and Decision Conference(2011中国控制与决策会议 CCDC)

作者： Guolian Hou Jianhua Zhang Rui Wang Jian Han Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North

Considering the electricity price’s volatility and various elements which affect the price in the electricity market, the paper presents hybrid model for the day-ahead electricity market clearing price forecasting. The paper adopts autoregressive moving average (ARMAX) model to reveal the linear relationship between power load and electricity price;the generalized autoregressive conditional heteroskedasticity (GARCH) model to reveal the heteroskedasticity properties of residual. Simultaneously the paper presents the inexactness and irrationality that modeling by the historical data long ago to forecast the price with the change of the time, then presents the rolling forecast that constantly using the latest data to modeling the ARMAX-AR-GARCH model. To reveal the nonlinear relationship between power load and electricity price, the paper adopts least squares support vector machine (LS-SVM). Using the proposed method, the day-ahead electricity prices of California electricity market are forecasted, prediction results show the efficiency of the proposed method.

关键词： day-ahead price forecast ARMAX GARCH rolling forecast LS-SVM

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Path planning of robotic fish based on genetic algorithm and modified dynamic programming

Path planning of robotic fish based on genetic algorithm and...

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2011 International Conference on Advanced Mechatronic systems, ICAMechS 2011

作者： Yang, Qian Yu, Mei Liu, Shu Chai, Zhong-Ming School of Control and Computer Engineering North China Electric Power University Beijing 102206 China Key Laboratory of Measurement and Control New Technology and System for Industrial Process North China Electric Power University Beijing 102206 China

ISBN: (纸本)9780955529375

In this paper, genetic algorithm and modified dynamic programming are applied to path planning of robotic fish for the first time. Using grid method to the environment modeling and applying genetic algorithm to the path planning, an optimal or sub-optimal robot path can be obtained. Since the robotic fish can't track linear motion, the robot path can be seen as several circular arc. Based on the optimal path obtained via genetic algorithm, modified dynamic programming algorithm is proposed to calculate the shortest circular arc path, fish velocity and direction in every step. Finally the experiment on the robotic fish control software shows the effectiveness of the proposed method. © 2011 Intl Journal of Adv Mechatr.

关键词： Motion planning

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