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The simulation of vortex flowmeter detector based on ANSYS and the design of anti-resonance piezoelectric detector

The simulation of vortex flowmeter detector based on ANSYS a...

引用

IEEE Instrumentation and Measurement Technology Conference

作者： Hongjun Sun Meng Sun Chao Wang Huaxiang Wang Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University TJU Tianjin China

Based on the analysis of signal of the piezoelectric detector, the relationship between natural frequency of the detector and vortex signal is discovered. Through the modal analysis of the piezoelectric detector's structure based on ANSYS, the relationship between the natural frequency and the detector's structure has been studied. Then by modifying the piezoelectric detector's structure and the low-pass filters' parameters, the measurement problem of high-frequency vortex signal has been solved.

关键词： Detectors Resonant frequency Time frequency analysis Interference Modal analysis Finite element methods

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Electrical resistance tomography system based on CompactPCI for multiphase flow measurement

Electrical resistance tomography system based on CompactPCI ...

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IEEE Instrumentation and Measurement Technology Conference

作者： Cong Xu Feng Dong Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University TJU Tianjin China

As a non-radiant and unperturbed 2D/3D boundary technique, Electrical resistance tomography (ERT) provides an effective way of monitoring and on-line measurements for multiphase fluid. To better satisfy industrial requirements, a parallel ERT system based on CompactPCI is described in this paper. The performance of this system have been tested, and the results show that the system works properly with SNR above 62dB with perfect repeatability less than 0.7%, and the data acquisition rate could reach almost 1400 frames per second under 50 kHz excitation. Static experiments have been conducted for image reconstruction and the images demonstrated good resolution relative to the actual object distribution. The parallel ERT system has provided a firm foundation for the dynamic multiphase flow measurements.

关键词： Demodulation Data acquisition Image reconstruction Fluid flow measurement Signal to noise ratio Field programmable gate arrays Voltage measurement

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PCA and neural networks-based soft sensing strategy with application in sodium aluminate solution

PCA and neural networks-based soft sensing strategy with app...

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作者： Wang, Wei Yu, Wen Zhao, Lijie Chai, Tianyou Laboratory of Integrated Automation of Process Industry Northeastern University Shenyang 110004 Liaoning Province China Departamento de Control Automatico CINVESTAV IPN Mexico DF Mexico Information Engineering School Shenyang Institute Of Chemical Technology Shenyang 110142 Liaoning Province China

Component concentration of sodium aluminate solution is an important quality index for alumina production. In this article, we propose a new on-line soft sensing strategy for measuring component concentration of sodium aluminate solution. With this method, on-line control can be realised in aluminate production plants. Several advance techniques are used, such as principal component analysis (PCA), neural modelling and the least square algorithm. Industry experiments are conducted in the alumina production process and the results show the effectiveness of this method. © 2011 Taylor & Francis.

关键词： Principal component analysis

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Identification of Hammerstein-Wiener ARMAX Systems Using Extended Kalman Filter

Identification of Hammerstein-Wiener ARMAX Systems Using Ext...

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2011 Chinese control and Decision Conference（CCDC）

作者： M.Mansouri H.Tolouei M.Aliyari Shoorehdeli Intelligent System Laboratory (ISLAB) faculty of Electrical EngineeringControl departmentK.N.Toosi University of Technology Advanced Process Automation & Control Laboratory (APAC) faculty of Electrical EngineeringControl departmentK.N.Toosi University of Technology Advanced Process Automation & Control Laboratory (APAC) faculty of Electrical EngineeringMechatronics departmentK.N.Toosi University of Technology

In this study,Extended Kalman Filter (EKF) algorithm is developed to estimate the parameters of Hammerstein-Wiener (H-W) ARMAX *** basic idea is to estimate the original parameters of the identification model,which are appeared in the form of product terms,***,other algorithms like Extended Forgetting Factor Stochastic Gradient (EFG),Extended Stochastic Gradient (ESG),Forgetting Factor Recursive Least Square (FFRLS) and Kalman Filter (KF),estimate parameters in the product form and they need another algorithms such averaging method (AVE method),singular value decomposition method (SVD method) to separate the ***,the computational complexity of the proposed approach *** show the efficiency of this method the results are compared with EFG and ESG method.

关键词： Hammerstein-Wiener model,Extended Kalman Filter algorithm,Extended Stochastic Gradient algorithm,Extended Forgetting Factor Stochastic Gradient algorithm

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Improve forecasting accuracy of short-term highway traffic flows by applying robust statistics to combination of forecasts

Improve forecasting accuracy of short-term highway traffic f...

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2011 International Conference on Remote Sensing, Environment and Transportation engineering, RSETE 2011

作者： Yang, Zhengling Ma, Jinjie Zhang, Jun Lv, Bingbing Chen, Xi School of Electrical Engineering and Automation Tianjin University China Tianjin Key Laboratory of Process Measurement and Control Tianjin 300072 China

ISBN: (纸本)9781424491711

The real highway traffic flows are time series sampled from typical complex systems. Combination of forecasts is necessary for the accurate, fast and reliable forecasts of them. The real traffic flows are complex stochastic processes, with time-varying probability distribution functions, and many outliers. The last two factors reduce the authenticity of point estimations of variances and correlation coefficients from the forecasting error series of the all individual methods, and directly reduce the accuracy of theoretical best combination weights. Using estimators to the complex time series by robust statistics, can improve the authenticity of point estimations of variances and correlation coefficients, then can improve the combination of forecasts accuracy of short-term highway traffic flows. Numerical test results show the improvements. © 2011 IEEE.

关键词： Random processes

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Dynamic optimal scheduling method and its application for converter fault in steelmaking and continuous casting production process

Dynamic optimal scheduling method and its application for co...

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作者： Yu, Shengping Chai, Tianyou Wang, Hong Pang, Xinfu Zheng, Binglin State Key Laboratory of Integrated Automation for Process Industry Northeastern University Shenyang 110004 China National Metallurgical Automation Engineering Technology Research Center Northeastern University Shenyang 110004 China Control Systems Centre School of Electrical and Electronic Engineering University of Manchester P O Box 88 Manchester M60 1QD United Kingdom

ISBN: (纸本)9783902661937

In steelmaking and continuous casting (SMCC) production process, converter fault can lead to unexpected changes to the pre-specified converter-continuous caster production mode so that the original scheduling plan becomes unrealizable. In this paper, the dynamic scheduling problem in response to converter fault is firstly analyzed. This is then followed by the establishment of a novel multi-objective nonlinear programming model (MONPM) by introducing the production mode parameter α, production schedule parameter β and χ. The proposed method considers changes in production mode, production schedule of charge, the interval characteristics of processing time. In specific, a two-stage dynamic optimal scheduling method is proposed including the production path planning of charges (PPP) and the production time scheduling (PTS). As a result, a dynamic optimal scheduling software system (DOSSS) is developed and is successfully applied to the scheduling of the largest iron and steel company (BaoSteel) in China. The real-time application shows that the proposed method can efficiently reduce scheduling time, significantly increase the outputs of converters and dramatically shorten the redundant waiting time for molten steel. © 2011 IFAC.

关键词： Scheduling

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Optimization research of genetic neural network based on Scilab

Optimization research of genetic neural network based on Sci...

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2011 IEEE International Workshop on Open-Source Software for Scientific Computation, OSSC-2011

作者： Zhao, Baoyong Qi, Yingjian Tao, Xing School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China Science School Communication University of China Beijing 100024 China Beijing Research Center of Urban System Engineering Beijing 100089 China Key Laboratory of Advanced Control for Iron and Steel Process Ministry of Education China

ISBN: (纸本)9781612844930

Radial basis function (RBF) network is one of the significant neural networks. It has been used successfully in various fields. But in RBF network approximation algorithm, the initial value of the network weights, Gauss function center vector and broad-based vector is not easy to determine, and when these parameter choice is undeserved, RBF network approximation precision will decline and even the serious consequences of network spread will be produced. By using genetic algorithm in this paper, which can better realize RBF network parameter optimization, thereby increasing the accuracy of approximation. Scilab is open source software and has good simulation capabilities. Experiments using Scilab shows that the optimization method of genetic neural network is feasible and results are satisfied. © 2011 IEEE.

关键词： Genetic algorithms

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Efficient Support Vector Regression with Weighted Constraints

Efficient Support Vector Regression with Weighted Constraint...

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2011 3rd International Asia Conference on Informatics in control, automation and Robotics(CAR 2011)

作者： Ling Wang Dong MeiFu School of Automation & Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education)

This paper proposes an efficient training approach for support vector regression,called weighted constraints SVR(WCSVR),which will improve the ability to learn from the noisy samples and overcome the overfitting *** the WCSVR learning process,the object function is modified by introducing a weight for each new training sample and the corresponding regularization *** weighted constraints value to each input sample is confirmed according to its kernel Mahalanobis distance to the center of the *** parameters help us to apply the importance of samples for eliminating the effect of the outliers in the *** overall experiments show prominence of out proposed method in comparison with the standard SVR.

关键词： support vector regression,weighted constraint,kernel Mahalanobis distance

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A measurement system of cone meter differential pressure based on LabVIEW

A measurement system of cone meter differential pressure bas...

引用

作者： Li, Feng Dong, Feng Zhang, Fusheng Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China

ISBN: (纸本)9789881725592

V type cone throttling device as new differential pressure flow sensor have been used in two-phase flow measurement. As a new instrument, virtual instrument combines computer resources, equipment monitoring and control hardware, data analysis and processing software, and graphical user interface software, which has been widely used in the actual test. In this research, the differential pressure signal generated by the V type cone throttling device is tested, The functions such as the real-time data acquisition, signal filtering, discharge coefficient and flow rate calculation, the real-time analysis and display are realized by programming with LabVIEW software, and finished the test by simulation experiment. Experimental results show that virtual instruments in V type cone flow measurement system can be convenient to monitored on-line experiment. It has played an important role to improving the reliability of experimental data and experimental efficiency, and optimizing the experimental design. © 2011 Chinese Assoc of Automati.

关键词： Flowmeters

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Disturbance Rejection in iron and steel process: Problems and current solutions

Disturbance Rejection in iron and steel process: Problems an...

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作者： Wang, Lijun Tong, Chaonan Li, Qing Yin, Yixin Gao, Zhiqiang School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education University of Science and Technology Beijing Beijing 100083 China Center for Advanced Control Technologies Fenn College of Engineering Cleveland State University Cleveland OH 44115 United States

ISBN: (纸本)9789881725592

It is shown in this paper that the quality of control in iron and steel process, hinges upon how well various disturbances are rejected. Characteristics of the disturbances and the current design solutions are presented, together with pending problems. In the evaluation of design options, Active Disturbance Rejection control stands out as the most viable solution - in its practicality and the ability to handle both internal and external disturbances in one simple manner. © 2011 Chinese Assoc of Automati.

关键词： Disturbance rejection

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