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Intelligent ERT system based on PXI modular instruments

Intelligent ERT system based on PXI modular instruments

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作者： Cao, Yang 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

Multi-phase flows are commonly encountered in the industry processes. It is very significant to monitor and test multi-phase flow. Electrical Resistance Tomography (ERT) technique has great prospective in industrial measurement and monitoring with merits of non-intrusive, non-radiant, visualization and etc. However, the application of this technique is restricted by its real-time performance. In this paper, the scheme of the intelligent ERT system based on PXI modular instruments has been proposed. The system can realize the image construction and flow information extracted with the method of multi-working mode. The result shows that, when the intelligent ERT system is working in dual-plane, the speed of each plane is 625 frames/s with 16 electrodes working mode, 1562frames/s with 8 electrodes working mode, and 3125 frames/s with 4 electrodes working mode. The real-time performance of the system satisfies the test requirements. Through the test of multi-flow dynamic simulated experiment, the characteristic value which is extracted from the measured data of each cross section can acquire the flow features distinctly of different flow patterns. © 2011 Chinese Assoc of automation.

关键词： Multiphase flow

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Measuring range extension of turbine flowmeter using data processing method

Measuring range extension of turbine flowmeter using data pr...

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作者： Li, Gang Li, Qiao-Zhen Zhang, Hai-Peng Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin 300072 China

ISBN: (纸本)9789881725592

The turbine flowmeter is widely used to measure gas or liquid flow, because of these advantages of high accuracy, excellent repeatability and low pressure drop. However, the character of non-linearity limits the extension of its measuring range. A new method of measuring range extension is presented in this paper, through the analysis of the pulse signal outputted by the tubine sensor. This method is simple and practicable, which can also be used in other sensors with pulse signal output. © 2011 Chinese Assoc of Automati.

关键词： Data handling

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Image classification with ant colony based support vector machine

Image classification with ant colony based support vector ma...

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作者： Zhao, Baoyong Qi, Yingjian 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 University of Science and Technology Beijing Beijing 100083 China Science School Communication University of China Beijing 100024 China

ISBN: (纸本)9789881725592

Natural image classification is an important task. SIFT descriptors and bag-of-visterms (BOV) method have achieved very good results based on local image representation. Many studies use the support vector machine to classify and identify the image category after finished representation of the image. However, due to support vector machine (SVM) its own characteristics, it shows inflexible and less slow convergence rate. The selection of parameters influenced the results for the algorithm seriously. Therefore, this paper try to improve the image recognition performance by support vector machine algorithm based on ant colony algorithm. The method adopt dense SIFT descriptors and BOV method to obtain the image representation. In recognition step, we use the support vector machine as a classifier but ant colony optimization method is used to selects kernel function parameter and soft margin constant C penalty parameter. Experiment results show that this solution determined the parameter automatically without trial and error and improved performance on natural image classification tasks. © 2011 Chinese Assoc of Automati.

关键词： Support vector machines

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Simulation of Excitation Strategy for Electromagnetic Tomography System

Simulation of Excitation Strategy for Electromagnetic Tomogr...

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

作者： Yan Fu Feng Dong Chao Tan Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin CO 300072 P.R. China

Based on the electromagnetic induction theory, the process of electromagnetic tomography is described as follows, exciting magnetic field is produced by alternating current which is injected into electromagnetic sensor array at the boundary of object field, and the induced magnetic field, which is affected by exciting magnetic field, is aroused in the electrical or magnetic conductive objects. The exciting and induced magnetic fields superimpose together, and this superposition signal reflects the distribution of conductivity or permeability in the harmonic magnetic field. Through the harmonic field, induced voltage would be acquired from the coils, who act as detected ones. By measuring voltage signal from detected coils at the boundary of object field, the conductivity or permeability information can be accessed and the spatial distribution images of the object space can be reconstructed. Comparing with the compound electrodes excitation strategy from others electrical tomography, distinct excitation strategies are proposed in electromagnetic tomography system. The finite-element simulation software, COMSOL Multiphysics, is used to simulate the output condition of three different strategies, and simulated results provide theoretical basing in system reconstructed optimization.

关键词： Electromagnetic Tomography Excitation strategy Forward problem Sensor array Magnetic field

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Multi-Step Ahead Fault Prediction Method Based on PCA and EMD

Multi-Step Ahead Fault Prediction Method Based on PCA and EM...

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

作者： Fuli Wang Yuqing Chang Shu Wang Zhen Zhao Key Laboratory of Integrated Automation of Process Industry Ministry of Education Northeastern Uni School of Information & Control Engineering Liaoning University of Petroleum & Chemical Technology

In recent years, fault prediction method, which means forecast process fault in an early time based on the current condition of the system, has attracted more and more attention by companies and scientists. However, it still has many problems in this area, especially for its application in industrial process. In the present work, a multi-step ahead fault prediction method combining principle component analysis, empirical mode decomposition and extreme learning machine are developed to realize early prediction of fault. The application of the presented method is illustrated with respect to simulated data collected from the Tennessee Eastman process. The experimental results demonstrate the effectiveness of the proposed method.

关键词： fault prediction principle component analysis (PCA) empirical mode decomposition (EMD) extreme learning machine (ELM) fault diagnosis signal processing

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Data Acquisition System Based on CompactPCI Bus and FPGA for Electrical Resistance Tomography

Data Acquisition System Based on CompactPCI Bus and FPGA for...

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

作者： Zhiqiang Zhang Feng Dong Cong Xu Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin CO 300072 P.R. China

As a kind of visual measurement technique based upon variations in conductivity, electrical resistance tomography has great potential in process application. A new data acquisition system for electrical resistance tomography is described. This data acquisition system is built based on the CompactPCI bus and the FPGA. The application of the CompactPCI bus can make the single plane electrical resistance tomography system extended and upgraded easily to multi-plane by adding additional CompactPCI cards and simple changes of configuration in FPGA chips and software in host computer. Besides, the injecting method and strategy can be controlled flexibly by FPGA. Meanwhile, the desired signals are measured and processed using digital signal processing technique in FPGA chips. This approach allows the system flexible, fast and precise. The new data acquisition system is tested in laboratory, the speed of the system can reach more than 1500 frame/s at the 100kHz sine wave injecting signal, even faster at higher frequency;the Signal-to-Noise ratio of the system can reach above 73dB.

关键词： Data acquisition system CompactPCI bus Electrical resistance tomography FPGA Digital signal processing

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Distributed Arithmetic FIR Filter for Electrical Resistance Tomography System

Distributed Arithmetic FIR Filter for Electrical Resistance ...

引用

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

作者： Cong Xu Feng Dong Zhiqiang Zhang Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin CO 300072 P.R. China

The digital FIR filter is widely used in electronic instruments. It is the time delay of the filter that affects the real-time performance of the conventional ERT system. This paper discusses the advantages of applying the distributed digital FIR filter in ERT system. Compared with the traditional filter, both the SNR and the channel consistence were improved to some extent. More importantly, the real-time performance has been improved;especially the data acquisition rate is increased from 600 frames per second to 1040 frames per second for the sixteen electrode system.

关键词： Digital filter FIR Distributed arithmetic ERT

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An included angle based nonlinearity measure for hammerstein-like systems

An included angle based nonlinearity measure for hammerstein...

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International Conference on Electric Information and control engineering (ICEICE)

作者： Jingjing Du Chunyue Song School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo China State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control University of Zhejiang Hangzhou China

Based on deep investigation to the static and dynamic characteristics of Hammerstein and Wiener model structures, this paper proposes an included angle based nonlinearity measure for SISO Hammerstein-like systems. The proposed measure is instrumental for both analysis and synthesis of nonlinear systems, especially when a multilinear model controller is designed. A CSTR process is studied to illustrate the effectiveness of the proposed nonlinearity measure.

关键词： Chemical reactors Nonlinear dynamical systems Steady-state Mathematical model process control Predictive models

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Non-fragile H∞ Static Output Feedback control for Discrete-time Linear Systems

Non-fragile H∞ Static Output Feedback Control for Discrete-...

引用

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

作者： Dawei Ding Xiaoli Li Yixin Yin Dexin Liu School of Automation and Electrical Engineering Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Beijing 100083 China

This paper investigates the problem of non-fragile static output feedback control (SOF) design for discrete-time linear systems. Interval type of additive gain variations to reflect imprecision in controller implementation is considered. The non-fragile SOF controller design is firstly formulated as a robust convex problem. Then a deterministic algorithm and a randomized one are proposed to solve the obtained robust convex problem. These two algorithms complements each other. The deterministic algorithm is suitable for systems with low dimensions, while the randomized one is applicable for systems with high dimensions. In addition, the randomized algorithm can alleviate the conservatism of the deterministic one. Two examples are given to show the effectiveness of the proposed method.

关键词： Non-fragile Static output feedback Randomized algorithms.

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Phase-Based RMFDA Fault Diagnosis Method Using Bootstrap Technique

Phase-Based RMFDA Fault Diagnosis Method Using Bootstrap Tec...

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2011 International Conference on Mechanical engineering and Technology(ICMET 2011)

作者： Shu Wang Zhen Zhao Yu-qing Chang Fu-li Wang Information Science and Engineering School Northeastern University Key Laboratory of Integrated Automation of Process Industry Northeastern University School of Information & Control Engineering Liaoning University of Petroleum & Chemical Technology

The fault diagnosis performance of Fisher Discriminant Analysis(FDA) method is superior to Principle Component Analysis(PCA) by taking into account both normal and fault data for modeling. For the cases with insufficient fault data, a diagnosis strategy is developed based on Bootstrap and phase-based Recursive Multi-way Fisher Discriminant Analysis(RMFDA). By this method, modeling data was constructed by Bootstrap. Besides, the diagnosis information of the previous phase was introduced in the next phase for MFDA modeling by combining recursive method. The effectiveness of the proposed method is demonstrated by applying it to the hydraulic tube tester.

关键词： Bootstrap,sub phase,RMFDA,fault diagnosis

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