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3D Nonparametric Neural Identification

JOURNAL OF CONTROL SCIENCE AND ENGINEERING 2012年第unknown期2012卷 618403.1-618403.10页

作者： Fuentes, Rita Q. Chairez, Isaac Poznyak, Alexander Poznyak, Tatyana CINVESTAV IPN Automat Control Dept Mexico City 07360 DF Mexico UPIBI IPN Bioproc Dept Mexico City 07360 DF Mexico ESIQIE IPN SEPI Mexico City 07738 DF Mexico

This paper presents the state identification study of 3D partial differential equations (PDEs) using the differential neural networks (DNNs) approximation. There are so many physical situations in applied mathematics and engineering that can be described by PDEs;these models possess the disadvantage of having many sources of uncertainties around their mathematical representation. Moreover, to find the exact solutions of those uncertain PDEs is not a trivial task especially if the PDE is described in two or more dimensions. Given the continuous nature and the temporal evolution of these systems, differential neural networks are an attractive option as nonparametric identifiers capable of estimating a 3D distributed model. The adaptive laws for weights ensure the "practical stability" of the DNN trajectories to the parabolic three-dimensional (3D) PDE states. To verify the qualitative behavior of the suggested methodology, here a nonparametric modeling problem for a distributed parameter plant is analyzed.

关键词： Three Dimensions Applied mathematics decentralised control Neural network Uncertainty distributed parameter Trivial

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Calculation of parameters in Transformer Winding Based on The Model of Multi-Conductor Transmission Line

Calculation of Parameters in Transformer Winding Based on Th...

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第11届国际电机与系统学术会议

作者： Chun Zhao,Jiangjun Ruan,Zhiye Du,Shoubao Liu,Yefeng Yu,Yuanhang Zhang Institute of Advanced Technology for Electrical Engineering Wuhan University,Wuhan,China 430072

This paper uses multi-conductor transmission line (MTL) to model transformer *** to the symmetry of windings,a 2D equivalent finite element model can be set up under ANSYS *** the basis,Finite Element Method(FEM) is used to calculate the distributed parameters in transformer *** the process of calculation, the skin effect is focused *** frequency-dependent parameters are calculated at the different frequency points based on FEM. Therefore,the calculating parameters are helpful to research on propagation characteristics of PD pulses in electric equipments.

关键词： multi-conductor transmission line transformer winding finite element method distributed parameter skin effect

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On the connections between used models of power transmission lines

On the connections between used models of power transmission...

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IEEE Power and Energy Society General Meeting

作者： M. Belhocine B. Marinescu RTE R&D Division 9 rue de la porte de Buc 78000 Versailles

ISBN: (纸本)9781479913022

The dynamic structures of three usual models for power transmission lines are compared. It is shown that, from a systemic point of view, the so-called π-model is the reduction of the distributed parameters one. This complements the well known comparison of the trajectories provided by these models. This new view is useful for the analysis and simulation of power systems dynamic behavior. Indeed, this structural analysis allows one to better link the models used in simulation to the specific phenomena which have to be reproduced like, e.g., interarea oscillations, hyposynchronous oscillations. This leads to the unification and classification of some models actually used in different simulators which can thus be simplified and improved. The results have been obtained in a theoretical framework and, afterwards, checked by numeric simulations.

关键词： Power transmission lines infinite dimensional systems model reduction Power transmission lines Multidimensional systems Reduced order model Connections Power system simulation distributed parameter simulating

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Long Transmission Line Distance Protection Based on parameter Identification

Long Transmission Line Distance Protection Based on Paramete...

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中国高等学校电力系统及其自动化专业第二十七届学术年会

作者： SuonanJiale ZengchaoWang BinWang XiaoningKang Department of Electrical Engineering，Xi’an Jiaotong University，Xi’an，Shaanxi 710049

In this paper, a novel time-domain algorithm for long transmission line distance protection is proposed. When a certain fault occurs, the current and voltage at the end of the protection zone can be calculated by using the measured current and voltage at the relay. By applying the new algorithm, which has three coefficients needed to be resolved by time-domain differential equation and fits long distance transmission line, to the current and voltage data at the end of the protection zone, we will obtain the fault distance. When the computed distance is less than the setting value, we consider the fault as an internal fault. Theoretical analysis and simulation prove that this method is not affected by the distributed capacitance or aperiodic component. Furthermore, the algorithm works very reliably without overreaching and its speed is really fast. As to a 300km long transmission line with a 300Ω transition resistance, this algorithm is verified to be valid and accurate.

关键词： Distance Protection Transition Resistance distributed parameter Compensation Algorithm

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Sparse signal recovery using generalized approximate message passing with built-in parameter estimation

Sparse signal recovery using generalized approximate message...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Shuai Huang Trac D. Tran Department of Electrical and Computer Engineering Johns Hopkins University Baltimore MD USA

ISBN: (纸本)9781509041183

The generalized approximate message passing (GAMP) algorithm under the Bayesian setting shows significant advantages in recovering under-sampled sparse signals from corrupted observations. Compared to conventional convex optimization methods, it has a much lower complexity and is computationally tractable. Under the GAMP framework, the sparse signal and the observation are viewed to be generated according to some pre-specified probability distributions in the input and output channels. However, the parameters of the distributions are usually unknown in practice and need to be decided. In this paper, we propose an extended GAMP algorithm with built-in parameter estimation (PE-GAMP). Specifically, PE-GAMP treats the parameters as unknown random variables with simple priors and jointly estimates them with the sparse signals along the recovery process. Sparse signal recovery experiments confirm PE-GAMP's convergence behavior and show that its performance matches the oracle GAMP algorithm that has the knowledge of the true parameter values.

关键词： Sparse signal recovery approximate message passing parameter estimation belief propagation compressive sensing Signal restoration parameter estimation message passing Belief propagation Compressed sensing distributed parameter

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A Novel Single-ended Fault Location Method for Locating Double-phase to earth Faults

A Novel Single-ended Fault Location Method for Locating Doub...

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IEEE Power and Energy Society General Meeting

作者： Rong-jin Zheng Xiangning Lin Feng Zhao Zhiqian Bo Electronic Information and Electrical Engineering Department Fujian University of Technology Electric Power Security and High Efficiency Lab Huazhong University of Science and Technology (HUST) AREVA T&D - Automation & Information Systems

ISBN: (纸本)9781457710001

To accurately locate the fault position on the EHV transmission line, the impact of distributed capacitance cannot be ignored. A novel fault location method for locating double-phase to earth faults occurred on the transmission line is presented based on the distributed parameter model of the transmission line. In this method, only the voltage and current of single end are used. The residual phase voltage at the fault point should have the same phase angle as the current through fault branch due to the pure resistive characteristics of the fault path impedance. By virtue of searching the minimum phase angle difference between the phase voltage along the transmission line and the fault-component current measured by the protection, the fault distance can be located. It should be pointed out that the algorithm is based on power-frequency voltages and currents. Therefore, it can be implemented in the existing protection devices easily. EMTDC based simulation model is used to generate the data to verify the proposed fault location algorithm. The test results are satisfactory in terms of engineering applications.

关键词： Single-ended fault location distributed parameter Bergeron Model Phase comparison EMTDC based simulations Phase comparison Transmission Lines phase voltage Fault location Earth faults distributed parameter single-ended currents Phase distributed capacitance faults power frequency safety devices

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Vehicle Inertial parameter Identification using Extended and Unscented Kalman Filters

Vehicle Inertial Parameter Identification using Extended and...

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International IEEE Conference on Intelligent Transportation Systems

作者： Sanghyun Hong Tory Smith Francesco Borrelli J. Karl Hedrick Dept. of Mech. Eng. Univ. of California Berkeley Berkeley CA USA|c|

ISBN: (纸本)9781479929153

Contemporary safety systems, such as obstacle avoidance and lane-keeping assistance, require good approximations of vehicle inertial properties, such as sprung mass and yaw moment of inertia, which can vary significantly based on the number of passengers, seating arrangement, and luggage. This paper demonstrates the implementation of two model-based parameter estimation algorithms, the Extended Kalman Filter (EKF) and the Unscented Kalman Filter (UKF), which are capable of working with a four degree of freedom, nonlinear vehicle model. While the EKF requires analytical linearization of the vehicle model at each step, the UKF approximates the parameter distribution with discrete sigma points and propagates them through the original nonlinear system. Simulation of a double lane change in CarSim illustrates the superior performance of the UKF for vehicle inertial parameter identification.

关键词： Vehicle model inertial parameter Kalman filters Degree of freedom sprung mass vehicle yawing moments Safety systems distributed parameter Obstacle avoidance passengers parameter estimation Inertial forces

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SINGING VOICE DETECTION IN MONOPHONIC AND POLYPHONIC CONTEXTS

SINGING VOICE DETECTION IN MONOPHONIC AND POLYPHONIC CONTEXT...

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European signal processing conference

作者： Helene Lachambre Regine Andre-Obrecht Julien Pinquier IRIT - Universite de Toulouse 118 route de Narbonne 31062 Toulouse Cedex 9 France

ISBN: (纸本)9781617388767

In this article, we present an improvement of a previous singing voice detector. This new detector is in two steps. First, we distinguish monophonies from polyphonies. This distinction is based on the fact that the pitch estimated in a monophony is more reliable than the one estimated in a polyphony. We study the short term mean and variance of a confidence indicator;their repartition is modelled with bi-variate Weibull distributions. We present a new method to estimate the parameters of these distributions with the moment method. Then, we detect the presence of singing voice. This is done by looking for the presence of vibrato, an oscillation of the fundamental frequency between 4 and 8 Hz. In a mono-phonic context, we look for vibrato on the pitch. In a polyphonic context, we first make a frequency tracking on the whole spectrogram, and then look for vibrato on each frequency tracks. Results are promising: from a global error rate of 29.7 % (previous method), we fall to a global error rate of 25 %. This means that taking into account the context (monophonic or polyphonic) leads to a relative gain of more than 16 %.

关键词： vibrato Voice frequency tracking relative gain Global Error METHOD OF MOMENTS Singing Vocal music fundamental frequencies distributed parameter

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Stability Of distributed Adaptive Algorithms II: Diffusion Algorithms

Stability Of Distributed Adaptive Algorithms II: Diffusion A...

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IEEE Annual Conference on Decision and Control

作者： Marc J. Piggott Victor Solo School of Electrical Engineering and Telecommunications The University of New South Wales Sydney Australia

ISBN: (纸本)9781479978878

In recent years a number of novel distributed parameter estimation algorithms have been developed stimulated by applications in cognitive radio, robotics, wireless networks and sensor networks. However, existing performance analyses have used white noise assumptions extensively. Here, we analyse for the first time a class of diffusion LMS strategies under autocorrelation assumptions. Further, we obtain a result in the white noise setting which provides a new understanding of existing steady state mean square error results. We treat the Adapt-then-Combine (ATC) algorithm.

关键词： Mean square error Adaptive algorithms white noise algorithms distributed parameter parameter estimation

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Lightning Transient Study of a Hybrid Overhead and Underground High-Voltage System

Lightning Transient Study of a Hybrid Overhead and Undergrou...

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2007 IEEE Power Engineering Society General Meeting (PES 2007), vol.6

作者： G. W. Chang Y. J. Liu H. M. Huang Department of Electrical Engineering National Chung Cheng University Chiayi Taiwan

Transient overvoltages encountered by the power system equipment are mainly divided into three types: lightning surges, switch surges, and power frequency overvoltages. This paper presents a transient overvoltage study in a 345kV hybrid overhead and underground transmission system that serves a high-tech industrial park. Based on the actual system information, the distributed parameter model is adopted to create a 345kV transmission network in EMTP/ATP for simulations. The high-energy phenomenon and lighting surges are included in the transient study. Then, major criteria suggested by IEEE and IEC standards are used to assess the level of insulation coordination of the hybrid overhead/underground high-voltage system.

关键词： Transients distributed parameter Lightning surges Insulation coordination

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