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Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 367-376 doi: 10.1007/s11465-017-0429-y

Abstract:

A new hierarchical parameter estimation method for doubly fed induction generator (DFIG) and driveSecondly, a coordination estimation method is further applied to identify the parameters of the DFIGand the drive train simultaneously with the purpose of attaining the global optimal estimation resultsThe main benefit of the proposed scheme is the improved estimation accuracy.Estimation results confirm the applicability of the proposed estimation technique.

Keywords： wind turbine generator     DFIG     drive train system     hierarchical parameter estimation method     trajectory sensitivity    

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Modified Performance Index Method for Parameter Estimation for Industrial Process with Time-varying

Zhang Chenghui

Strategic Study of CAE 2001, Volume 3, Issue 11,   Pages 54-59

Abstract:

A new estimation method based on modified performance index is proposed for time-varying process to

Keywords： parameter estimation     method of calculation     least square method     time-varying system     industrial production    

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Non-iterative parameter estimation of the 2R-1Cmodel suitable for low-cost embedded hardware Article

Mitar SIMIĆ, Zdenka BABIĆ, Vladimir RISOJEVIĆ, Goran M. STOJANOVIĆ

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3,   Pages 476-490 doi: 10.1631/FITEE.1900112

Abstract: Parameter estimation of the 2R-1C model is usually performed using iterative methods that require high-performanceConsequently, there is a strong motivation to develop less time-consuming and more power-efficient parameterestimation methods.In this study, we propose the quadratic interpolation non-iterative parameter estimation (QINIPE) methodnumber of required measurement points by 80% in comparison with our previously reported non-iterative parameter

Keywords： 2R-1C model     Embedded systems     Parameter estimation     Non-iterative methods     Quadratic interpolation    

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A multi-functional dynamic state estimator for error validation: measurement and parameter errors and Article

Mehdi AHMADI JIRDEHI,Reza HEMMATI,Vahid ABBASI,Hedayat SABOORI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 11,   Pages 1218-1227 doi: 10.1631/FITEE.1500301

Abstract: propose a new and efficient algorithm to detect, identify, and correct measurement errors and branch parameterA dynamic state estimation algorithm is used based on the Kalman filter theory.

Keywords： Dynamic state estimation     Kalman filter     Measurement errors     Branch parameter errors     Sudden load changes    

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Parameter estimation in exponential models by linear and nonlinear fitting methods Article

Ping YANG,Chao-peng WU,Yi-lu GUO,Hong-bo LIU,Hui HUANG,Hang-zhou WANG,Shu-yue ZHAN,Bang-yi TAO,Quan-quan MU,Qiang WANG,Hong SONG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 3,   Pages 434-444 doi: 10.1631/FITEE.1601683

Abstract: Estimation of unknown parameters in exponential models by linear and nonlinear fitting methods is discussedestimated from underwater images and imaging distances, which supports the improvement in the accuracy of parameterestimation by the nonlinear fitting method.

Keywords： Exponential model     Parameter estimation     Linear least squares     Nonlinear fitting    

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Astatistical distribution texton feature for synthetic aperture radar image classification Article

Chu HE, Ya-ping YE, Ling TIAN, Guo-peng YANG, Dong CHEN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1614-1623 doi: 10.1631/FITEE.1601051

Abstract: of statistical distribution in SAR images, the s-texton feature is developed based on the idea that parameterestimation of the statistical distribution can replace the filtering operation in the traditional textureextracting the s-texton feature, several strategies are adopted, including pre-processing, spatial gridding, parameterestimation, texton clustering, and histogram

Keywords： Synthetic aperture radar     Statistical distribution     Parameter estimation     Image classification    

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Important Progress in Estimating Forest Resources

Zhao Xianwen,Li Chonggui,Si Lin,Tian Yonglin,Yuan Kaixian

Strategic Study of CAE 2001, Volume 3, Issue 8,   Pages 15-24

Abstract:

Traditional forest resources inventory is a hard mission, which needs much time, work and money. At the end of 1970s, remote sensing technology was introduced into China and has been used since then in the activities of forest resource inventory, especially in estimating forest stock volume, they include： Estimating volume stock of forest using quantitative value and qualitative factors of satellite data; Application of above — mentioned techniquess in different climate zones in China (The method has been spreaded over 7 million hectares in China); Estimating forestland, including area of fragments woodland and index of forest network etc. Through careful analysis of precision against costs, it is indicated that remote sensing method can save 1/3 to 1/2 budget in comparison with the traditional method.

In recent years, based on the previous study and by using modern statistic measure, new exploration and deeper study were done. These studies have solved some key problems in application of remote sensing in forestry resource inventory, such as calibrating remote sensing image against sampling plots on the ground, decreasing field work, increasing accuracy of stock volume on compartment, fast selecting optimal function, and avoiding factors that are hard to be determined by remote sensing data (such as age group, crown canopy, etc.). Both theor etical and practical applications have confirmed that remote sensing information play a leading role in estimating forest stock volume.

These discussed studies have made a good basis for the application of remote sensing in forest inventory, and given strong support for establishing a new system of forest inventory, which use remote sensing technology as primary measure.

At the end of this paper, a frame of new system of forest resource inventory is put forward, and suggestion on key problem in the new system is discussed.

Keywords： inventory by remote sensing     non-parameter estimation     forest stock volume     modern statistics    

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Estimation of load and resistance factors using the third-moment method based on the 3P-lognormal distribution

Yan-Gang ZHAO, Zhao-Hui LU

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 3,   Pages 315-322 doi: 10.1007/s11709-011-0117-7

Abstract: In this article, the third-moment reliability index, based on the three-parameter lognormal (3P-lognormal

Keywords： load and resistance factors     third-moment method     three-parameter lognormal (3P-lognormal) distribution    

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Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0703-5

Abstract: In fiber laser beam welding (LBW), the selection of optimal processing parameters is challenging and plays a key role in improving the bead geometry and welding quality. This study proposes a multi-objective optimization framework by combining an ensemble of metamodels (EMs) with the multi-objective artificial bee colony algorithm (MOABC) to identify the optimal welding parameters. An inverse proportional weighting method that considers the leave-one-out prediction error is presented to construct EM, which incorporates the competitive strengths of three metamodels. EM constructs the correlation between processing parameters (laser power, welding speed, and distance defocus) and bead geometries (bead width, depth of penetration, neck width, and neck depth) with average errors of 10.95%, 7.04%, 7.63%, and 8.62%, respectively. On the basis of EM, MOABC is employed to approximate the Pareto front, and verification experiments show that the relative errors are less than 14.67%. Furthermore, the main effect and the interaction effect of processing parameters on bead geometries are studied. Results demonstrate that the proposed EM-MOABC is effective in guiding actual fiber LBW applications.

Keywords： laser beam welding     parameter optimization     metamodel     multi-objective    

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Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2,   Pages 133-136 doi: 10.1007/s11709-013-0202-1

Abstract: article examines the capability of Gaussian process regression (GPR) for prediction of effective stress parametervolumetric water content ( ), residual water content ( ), bubbling pressure ( ), suction ( ) and fitting parameterA sensitivity analysis has been done to determine the effect of each input parameter on .

Keywords： unsaturated soil     effective stress parameter     Gaussian process regression (GPR)     artificial neural network    

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1000 MW ultra-supercritical turbine steam parameter optimization

FENG Weizhong

Frontiers in Energy 2008, Volume 2, Issue 2,   Pages 187-193 doi: 10.1007/s11708-008-0030-5

Abstract: The 2 × 1000 MW ultra-supercritical steam turbine of Shanghai Waigaoqiao Phase III project, which uses grid frequency regulation and overload control through an overload valve, is manufactured by Shanghai Turbine Company using Siemens technology. Through optimization, the steam pressure is regarded as the criterion between constant pressure and sliding pressure operation. At high circulating water temperature, the turbine overload valve is kept closed when the unit load is lower than 1000 MW while at other circulating water temperatures the turbine can run in sliding pressure operation when the unit load is higher than 1000 MW and the pressure is lower than 27 MPa This increases the unit operation efficiency. The 3D bending technology in the critical piping helps to reduce the project investment and minimize the reheat system pressure drop which improves the unit operation efficiency and safety. By choosing lower circulating water design temperature and by setting the individual Boiler Feedwater Turbine condenser to reduce the exhaust steam flow and the heat load to the main condenser, the unit average back pressure and the terminal temperature difference are minimized. Therefore, the unit heat efficiency is increased.
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Structural parameter design method for a fast-steering mirror based on a closed-loop bandwidth

Guozhen CHEN, Pinkuan LIU, Han DING

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1,   Pages 55-65 doi: 10.1007/s11465-019-0545-y

Abstract: This study proposes a structural parameter design approach for an FSM system based on the quantitative

Keywords： fast-steering mirror     structural parameter     PI controller     bandwidth     notch filter    

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Energy efficient cutting parameter optimization

Xingzheng CHEN, Congbo LI, Ying TANG, Li LI, Hongcheng LI

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 221-248 doi: 10.1007/s11465-020-0627-x

Abstract: Over the past 10 years, many researchers have been engaged in energy efficient cutting parameter optimizationThis paper conducts a comprehensive literature review of current studies on energy efficient cutting parameterCurrent studies on energy efficient cutting parameter optimization by using experimental design methodCombined with the current status, future research directions of energy efficient cutting parameter optimization

Keywords： energy efficiency     cutting parameter     optimization     machining process    

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Intelligent algorithm for optimal meter placement and bus voltage estimation in ring main distribution

L. RAMESH, N. CHAKRABORTY, S. P. CHOWDHURY

Frontiers in Energy 2012, Volume 6, Issue 1,   Pages 47-56 doi: 10.1007/s11708-011-0159-5

Abstract: results proves that the swarm tuned artificial neural network (ANN) estimator is best suited for accurate estimation

Keywords： artificial intelligence     power distribution control     state estimation    

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Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1082-1094 doi: 10.1007/s11709-019-0537-3

Abstract: An out-put only modal parameter identification method based on variational mode decomposition (VMD) isconducted to demonstrate the efficiency and highlight the superiority of the proposed method in modal parameterThe proposed method is proved to be efficient and accurate in modal parameter identification for bothlinear and nonlinear civil structures, including structures with closely spaced modes, sudden modal parameter

Keywords： modal parameter identification     variational mode decomposition     civil structure     nonlinear system     closely    

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Title Author Date Type Operation

Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Journal Article

Modified Performance Index Method for Parameter Estimation for Industrial Process with Time-varying

Zhang Chenghui

Journal Article

Non-iterative parameter estimation of the 2R-1Cmodel suitable for low-cost embedded hardware

Mitar SIMIĆ, Zdenka BABIĆ, Vladimir RISOJEVIĆ, Goran M. STOJANOVIĆ

Journal Article

A multi-functional dynamic state estimator for error validation: measurement and parameter errors and

Mehdi AHMADI JIRDEHI,Reza HEMMATI,Vahid ABBASI,Hedayat SABOORI

Journal Article

Parameter estimation in exponential models by linear and nonlinear fitting methods

Ping YANG,Chao-peng WU,Yi-lu GUO,Hong-bo LIU,Hui HUANG,Hang-zhou WANG,Shu-yue ZHAN,Bang-yi TAO,Quan-quan MU,Qiang WANG,Hong SONG

Journal Article

Astatistical distribution texton feature for synthetic aperture radar image classification

Chu HE, Ya-ping YE, Ling TIAN, Guo-peng YANG, Dong CHEN

Journal Article

Important Progress in Estimating Forest Resources

Zhao Xianwen,Li Chonggui,Si Lin,Tian Yonglin,Yuan Kaixian

Journal Article

Estimation of load and resistance factors using the third-moment method based on the 3P-lognormal distribution

Yan-Gang ZHAO, Zhao-Hui LU

Journal Article

Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Journal Article

Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Journal Article

1000 MW ultra-supercritical turbine steam parameter optimization

FENG Weizhong

Journal Article

Structural parameter design method for a fast-steering mirror based on a closed-loop bandwidth

Guozhen CHEN, Pinkuan LIU, Han DING

Journal Article

Energy efficient cutting parameter optimization

Xingzheng CHEN, Congbo LI, Ying TANG, Li LI, Hongcheng LI

Journal Article

Intelligent algorithm for optimal meter placement and bus voltage estimation in ring main distribution

L. RAMESH, N. CHAKRABORTY, S. P. CHOWDHURY

Journal Article

Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Journal Article