检索结果-内蒙古大学图书馆

Coal-fired boiler ash deposition monitoring technology of economizer

Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) 2011年第SUPPL. 1期41卷 285-287页

作者： Wang, Bin Wang, Jing-Cheng Shi, Yuan-Hao Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiaotong University Shanghai 200240 China

For the purpose of realization of ash deposition monitoring and optimal operation of sootblowing, taking the economizer as the research object and the cleanliness factor as the measurement of the degree of pollution of heating surface, based on the principle of heat balance, a model of heating surface ash deposition was being established. The model considered the impact of changing conditions, and added radiation heat transfer as sub-module. Finally, with offline data to calculate the model, it is verified that the model is reasonable.

关键词： Deposition

来源：评论

学校读者我要写书评

暂无评论

An effective document image deblurring algorithm

An effective document image deblurring algorithm

引用

Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Xiaogang Chen Xiangjian He Jie Yang Qiang Wu Key Laboratory of System Control and Information Processing Ministry of Education China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University China Centre of Innovation in IT Services and Applications University of Technology Sydney Australia

Deblurring camera-based document image is an important task in digital document processing, since it can improve both the accuracy of optical character recognition systems and the visual quality of document images. Traditional deblurring algorithms have been proposed to work for natural-scene images. However the natural-scene images are not consistent with document images. In this paper, the distinct characteristics of document images are investigated. We propose a content-aware prior for document image deblurring. It is based on document image foreground segmentation. Besides, an upper-bound constraint combined with total variation based method is proposed to suppress the rings in the deblurred image. Comparing with the traditional general purpose deblurring methods, the proposed deblurring algorithm can produce more pleasing results on document images. Encouraging experimental results demonstrate the efficacy of the proposed method.

关键词： Image restoration Histograms TV Object segmentation Deconvolution Estimation Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Data-driven process monitoring method based on dynamic component analysis

Data-driven process monitoring method based on dynamic compo...

引用

Chinese control Conference (CCC)

作者： Guangming Zhang Ning Li Shaoyuan Li Department of Automation and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiaotong University Shanghai China Department of Automation Ministry of Education of China Shanghai P. R. China

A novel data-driven process monitoring method based on dynamic independent component analysis-principle component analysis (DICA-DPCA) is proposed to compensate for shortcomings in the conventional component analysis based monitoring methods. The primary idea is to first augment the measured data matrix to take the process dynamic into account. Then perform independent component analysis (ICA) and principle component analysis (PCA) on the augmented data to capture both the non-Gaussian and Gaussian process information. Finally, a combined monitoring statistic is proposed by support vector data description (SVDD) with its control limit being determined by bootstrap quantile estimation method to lessen monitoring work-load. The Tennessee Eastman process is used to demonstrate the improved monitoring performance of the proposed mechanism in comparison with existing component analysis based monitoring methods, including PCA, ICA, ICA-PCA, dynamic PCA, and dynamic ICA.

关键词： Monitoring Principal component analysis process control Estimation Data mining Support vector machines Training

来源：评论

学校读者我要写书评

暂无评论

Dynamic average consensus estimation over stochastically switching network via quantization communication

Dynamic average consensus estimation over stochastically swi...

引用

Chinese control Conference (CCC)

作者： Dequan Li Qipeng Liu Xiaofan Wang Department of Automation and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiaotong University Shanghai China Department of Automation Ministry of Education of China Shanghai P. R. China

In this paper, we consider the problem that a group of agents aims to compute the average of individually estimated noisy parameters by sharing information among a random network of digital links. In this scenario, the average consensus seeking is involved in a two-step procedure. First, each agent estimates the local time-varying parameters individually, and then agents average their estimations by interaction with neighbors through quantized communication. Impact of quantization on the performance of the proposed distributed algorithm is investigated. We prove that the agents' states converge to a random variable that deviates from the average of the estimated parameters. We derive an upper bound for the asymptotic residual mean square error of the states, which captures effects of the quantization precision and the structure of the random communication networks.

关键词： Quantization Heuristic algorithms Estimation Probabilistic logic Mean square error methods Noise Symmetric matrices

来源：评论

学校读者我要写书评

暂无评论

Modified recursive partial least squares algorithm with application to modeling parameters of ball mill load

Modified recursive partial least squares algorithm with appl...

引用

作者： Tang, Jian Zhao, Lijie Yu, Wen Chai, Tianyou Yue, Heng Key Laboratory of Integrated Automation of Process Industry Ministry of Education Northeastern University Shenyang 110004 China College of Information Engineering Shenyang University of Chemical Technology Shenyang110142 China Departamento de Control Automatico CINVESTAV-IPN Av.IPN 2508 México D.F. 07360 Mexico Research Center of Automation Northeastern University Shenyang 110004 China

ISBN: (纸本)9789881725592

Recursive partial least squares (RPLS) regression is effectively used in process monitoring and modeling to deal with the stronger collinearity of the process variables and slow time-varying property of industrial processes. Aim at the RPLS cannot solve the modeling speed and the accuracy problems effectively, a modified sample-wise RPLS algorithm is proposed in this paper. It updates the PLS model according to the process status. We use the approximate linear dependence (ALD) condition to check each new sample. The model is reconstructed recursively such that the new samples satisfy the ALD condition. Experimental study on modeling parameters of ball mill load shows that the proposed modified RPLS algorithm is computationally faster, and the modeling accuracy is higher than conventional RPLS for the time-varying process. © 2011 Chinese Assoc of Automati.

关键词： Parameter estimation

来源：评论

学校读者我要写书评

暂无评论

Case-based safety assessment of thermal power plants: A framework

Case-based safety assessment of thermal power plants: A fram...

引用

2011 International Conference on Business Management and Electronic information, BMEI 2011 - 2011 International Conference on Supernetworks and system Management, ICSSM 2011

作者： Liang, Changyong Gu, Dongxiao Bichindaritz, Isabelle Zuo, Chunrong Cheng, Fei School of Management Hefei University of Technology Hefei Anhui 230009 China Key Laboratory of Process Optimization Intelligent Decision-making of Ministry of Education of China Hefei Anhui 230009 China Institute of Technology University of Washington Tacoma WA 98402 United States Department of Computer Science University of Illinois at Chicago Chicago IL 60607 United States Research Center of Intelligent Decision Making Information System Technologies of Ministry of Education of China Hefei Anhui 230009 China

ISBN: (纸本)9781612841069

Security assessment of Thermal Power Plants (TPPs) is one of the important means to guarantee the safety of production in thermal power production enterprises. Essentially, the evaluation of power plant systems relies to a large extent on the knowledge and length of experience of the experts. Therefore in this domain Case-Based Reasoning (CBR) is introduced for the security assessment of TPPs since this methodology models expertise through experience management. Taking the management system of TPPs as breakthrough point, this paper presents a case-based approach for the security assessment decision support of TPPs (SATPP). First, this paper reviews commonly used approaches for TPPs security assessment and the current general evaluation process of TPPs security assessment. Then a framework for the Management system Security Assessment of Thermal Power Plants (MSSATPP) is constructed and an Intelligent Decision Support system for MSSATPP (IDSS-MSSATPP) is functionally designed. MSSATPP involves several key technologies and methods such as knowledge representation and case matching. © 2011 IEEE.

关键词： Case based reasoning

来源：评论

学校读者我要写书评

暂无评论

Differential evolution with adaptive population size combining lifetime and extinction mechanisms

Differential evolution with adaptive population size combini...

引用

Asian control Conference

作者： Chunmei Zhang Jie Chen Bin Xin Tao Cai Chen Chen School of Electronic Information Engineering Taiyuan University of Science and Technology Shanxi China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing China School of Automation Beijing Institute of Technology Beijing China

ISBN: (纸本)9781612844879

Differential Evolution (DE) is a simple and efficient numerical optimization method. Most DE variants in the literature adopt fixed population size. This paper incorporates into DE the mechanisms of lifetime and extinction which regulate DE's population size in an adaptive manner. The population size is adjusted according to the online progress of fitness improvement. Two schemes of inserting new individuals are proposed to match different mechanisms respectively. The performance of these innovations is examined through the optimization of benchmark problems. The results show that the proposed adaptive population sizing strategy is efficient for improving the convergence and efficiency of the DE.

关键词： Convergence Optimization Benchmark testing Cloning Automation Evolutionary computation Algorithm design and analysis

来源：评论

学校读者我要写书评

暂无评论

Neural based PID control for networked processes

Neural based PID control for networked processes

引用

International Symposium on Advanced control of Industrial processes (ADCONIP)

作者： J. Chen N. Cheng J. Zhang Department of Chemical Engineering Chung Yuan Christian University Chungli Taiwan Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China National Institute for Standards and Technology Boulder CO USA

A neural based PID feedback control method for networked process control systems is presented. As there are some uncertain factors such as external disturbance, randomly delayed measurements or control demands in real networked process control systems, the proposed PID controller is implemented by backpropagation neural networks whose weights are updated via minimizing tracking error entropy of closed loop systems. To demonstrate the potential applications of the proposed strategy, an example of a simulated batch reactor is provided. The proposed design method is shown to be useful and effective in dealing with network process control systems.

关键词： process control Delay Artificial neural networks control systems Stochastic processes Inductors Entropy

来源：评论

学校读者我要写书评

暂无评论

Angle restriction enhances synchronization of self-propelled objects

引用

Physical Review E 2011年第4期84卷 046115-046115页

作者： Jianxi Gao Shlomo Havlin Xiaoming Xu H. Eugene Stanley Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 PR China Center for Polymer Studies and Department of Physics Boston University Boston Massachusetts 02215 USA Department of Physics Bar-Ilan University IL-52900 Ramat-Gan Israel

Understanding the synchronization process of self-propelled objects is of great interest in science and technology. We propose a synchronization model for a self-propelled objects system in which we restrict the maximal angle change of each object to θR. At each time step, each object moves and changes its direction according to the average direction of all of its neighbors (including itself). If the angle change is greater than a cutoff angle θR, the change is replaced by θR. We find that (i) counterintuitively, the synchronization improves significantly when θR decreases, (ii) there exists a critical restricted angle θRc at which the synchronization order parameter changes from a large value to a small value, and (iii) for each noise amplitude η, the synchronization as a function of θR shows a maximum value, indicating the existence of an optimal θR that yields the best synchronization for every η.

关键词： NOISE SYNCHRONIZATION ROBOTS STOCHASTIC convergence MATHEMATICS

来源：评论

学校读者我要写书评

暂无评论

Optimization research of genetic neural network based on Scilab

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

引用

IEEE International Workshop on Open-source Software for Scientific Computation (OSSC)

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

ISBN: (纸本)9781612844923

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.

关键词： Genetic algorithms Radial basis function networks Optimization Approximation methods Vectors Biological cells Genetics

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：