检索结果-内蒙古大学图书馆

第23届过程控制会议

作者： Jian-guo Wang Chang-Chun Pan Shi-Shang Jang David Shan-Hill Wong Shyan-Shu Shieh Chan-Wei Wu School of Mechatronical Engineering and Automation Shanghai University and Shanghai Key Labof Power Station Automation Technology Shanghai 200072 China Department of Automation and Key Laboratory of System Control and Information Processing Ministry ofEducation of China Shanghai Jiao Tong University Shanghai 200240 China Department of Chemical Engineering National Tsing-Hua University Hsin-Chu 30013 Taiwan Department of Occupational Safety and Hygiene Chang Jung University Tainan 71101 Taiwan Energy & Air Pollution Control Section New Materials R&D Dept. China Steel Corporation Kaohsiung 81233 Taiwan

ring normal operations, response or quality variables of a process will follow a input-output relation that depend on certain key sensor variables. A soft-sensor with limited model size can be developed. When the process enters into a “faulty” state, the structure, of this model may change. Moreover, disturbance that is not reflected by sensor outputs may also be present. In this paper, we introduce a recursive soft-sensor modeling algorithm which employs a nonnegative garrote (NNG) variable selection procedure. This model can be used for both prediction, and detection of structural model change and the emergence of disturbance. The advantages of the proposed method were demonstrated by a simulation example and an industrial application to temperature prediction of a blast furnace hearth.

关键词： NNG(nonnegative garrote) Soft sensor Fault detection

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A method for detection and classification of glass defects in low resolution images

A method for detection and classification of glass defects i...

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International Conference on Image and Graphics

作者： Zhao, Jie Kong, Qing-Jie Zhao, Xu Liu, Jiapeng Liu, Yuncai Department of Automation Key Laboratory of China MOE for System Control and Information Processing Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9780769545417

This paper presents a novel method for detection and recognition of glass defects in low resolution images. First, the defect region is located by the method of Canny edge detection, and thus the smallest connected region (rectangle) can be found. Then, the binary information of the core region can be obtained based on a specific filter. After noises are removed, a novel Binary Feature Histogram (BFH) is proposed to describe the characteristic of the glass defect. Finally, the AdaBoost method is adopted for classification. The classifiers are designed based on BFH. Experiments with 800 bubble images and 240 non-bubble images prove that the proposed method is effective and efficient for recognition of glass defects, such as bubbles and inclusions. © 2011 IEEE.

关键词： Adaptive boosting

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Detecting motion patterns in dynamic crowd scenes

Detecting motion patterns in dynamic crowd scenes

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International Conference on Image and Graphics

作者： Wang, Chongjing Zhao, Xu Zou, Yi Liu, Yuncai Department of Automation and Key Laboratory of China MOE for System Control and Information Processing Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9780769545417

Detecting motion pattern in dynamic crowd scenes is a challenging problem in computer vision field. In this paper, we propose a novel approach to detect the motion patterns from global perspective. To extract the discriminative spatial-temporal features, we introduce the Motion History Image (MHI) into the optical flow algorithm. Motion patterns are then detected by automatic clustering of optical flow vectors through hierarchical clustering. Experiment evaluation on some challenging videos shows reliable detection results and demonstrates the effectiveness of our proposed approach. © 2011 IEEE.

关键词： Optical flows

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Adaptive background model for arbitrary-long stationary target

Adaptive background model for arbitrary-long stationary targ...

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International Conference on Image and Graphics

作者： Li, Peng Wang, Chenhao Wang, Chongjing Liu, Yuncai Department of Automation Key Laboratory of China MOE for System Control and Information Processing Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9780769545417

Background reconstruction plays an important role in many applications like video surveillance, motion analysis. Traditional Adaptive Gaussian Mixture Model will lose target when deal with arbitrary-long stationary object. In this paper, a novel method for detecting this kind of object is proposed to improve the performance of Adaptive Gaussian Mixture Model. Parameter restoration is designed to deal with arbitrary-long stationary target and solve the short-comings of the latest algorithm. The parameters among the K distribution of each pixel covered by the object will be restored when the object stayed for over threshold frames. Then the target will not be updated as a part of background model. Experimental results show that the proposed algorithm proves to be a more robust method by detecting the stationary target in an arbitrary-long time. © 2011 IEEE.

关键词： Restoration

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Adaptive variable selection using non-negative garrote with application to soft sensor and fault detection

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Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology 2012年第SUPPL.2期36卷 82-86页

作者： Wang, Jian-Guo Guo, Yong Ma, Shi-Wei Pan, Chang-Chun Jang, Shi-Shang Wong, David Shan-Hill School of Mechatronical Engineering and Automation Shanghai Key Lab. of Power Station Automation Technology Shanghai University Shanghai 200072 China Department of Automation Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai 200240 China Department of Chemical Engineering National Tsing-Hua University Taiwan 30013 Taiwan

In order to improve the function of soft sensor to conduct variable selection, fault detection and model structure identification in the case of faulty state, a design method of new soft sensor is studied though the variable selection algorithm. A non-stationary time serial is introduced to describe the process output not being reflected by sensor variables and to detect whether the process enters the faulty state. A non-negative garrote method is adopted to identify the model structure and a modeling method for new soft sensors is presented. The obtained model can be used for both prediction, and detection of structural model change and the emergence of disturbance. Compared with the ordinary soft sensor based on partial least square algorithm, the advantages of the proposed method are demonstrated by a simulation example and an industrial application to temperature prediction of a blast furnace hearth.

关键词： Fault detection

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Estimation of benchmark performance for nonlinear control systems

Estimation of benchmark performance for nonlinear control sy...

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作者： Zhang, Zhi Hu, Li-Sheng Shi, Wen-Jun Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Shanghai 200240 China

ISBN: (纸本)9781457700804

During the last two decades, performance assessment of control systems has been receiving wide attention. However, estimation of the benchmark performance of nonlinear control systems still remains open. In this work, we consider an estimation problem of the benchmark performance when control loops are intervened by the complex non-differentiable nonlinearity. The considered nonlinearity includes control valve stiction of the control systems, as well as switching action involved by protection valves widely used in the safety-related control systems. Based on the idea of Lebesgue sampling, the paper proposes a novel threshold autoregressive model for unbiased estimation of the benchmark performance. Basically, the proposed method is based on the partitioning of the closed-loop routine operating data when it reaches certain thresholds. Modeling each partitioned regime as an autoregressive model, the prediction error variance as the benchmark performance can be obtained by the principle of pooled variance. A numerical example well shows the effectiveness of the proposed method. © 2011 AACC American Automatic control Council.

关键词： Numerical methods

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A knowledge passing process calculus

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ICIC Express Letters 2012年第1期6卷 85-90页

作者： Qian, Zhongmin Cao, Zining Gao, Zhifeng Lin, Jinxing Department of Computer Science and Technology Nanjing University of Aeronautics and Astronautics No. 29 Yudao Street Baixia District Nanjing 210016 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University No. 1 Shizi Street Suzhou 215006 China National Key Laboratory of Science and Technology on Avionics System Integration Shanghai 200233 China College of Automation Nanjing University of Posts and Telecommunications No. 9 Wenyuan Road Yadongxincheng District Nanjing 210046 China

In MAS (Multi-Agent system), communicating among agents is an important characteristic as it is important in transmitting information among agents, recognizing the status changing, and scheduling and accomplishing cooperation tasks. Different from the research in the field of computer science or others, communicating is to transmit knowledge in MAS. The existed works about transmitting knowledge were seldom. This paper proposed a knowledge passing process calculus based on Robin Milner's CCS and studied its semantic features. This work constructs a fundament for the further developing of MAS formal semantics. © 2012 ISSN 1881-803X.

关键词： Multi agent systems

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A rectangle detection method for real-time extraction of large panel edge

A rectangle detection method for real-time extraction of lar...

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International Conference on Image and Graphics

作者： Wu, Zhe Kong, Qingjie Liu, Jiapeng Liu, Yuncai Department of Automation and Key Laboratory of China MOE for System Control and Information Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9780769545417

The problem of real-time rectangle detection on high-resolution image arises in actual panel production. This paper proposes a robust real-time method for panel rectangle detection. In line extraction part, a new technique called "Crossing Dilation"is proposed to improve the Progressive Probabilistic Hough Transform performance, to extract long line segments that are not perfectly straight in large sparse binary image. The rectangle is detected using the proposed rectangle fitting method. Experiments on a variety of real cases of large panels are executed, some of which are badly disturbed by the fake edges caused by the dust in the background region. The results show great real-time performance on all the cases, and the proposed method is robust to the disturbances and different panel sizes. © 2011 IEEE.

关键词： Binary images

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Hybrid case-based reasoning for capacity planning in semiconductor manufacturing

Hybrid case-based reasoning for capacity planning in semicon...

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2011 International Conference on information Science and Technology, ICIST 2011

作者： Hu, Guanqin Zhu, Lanjuan Bao, Ruimin Department of Automation Shanghai Jiao Tong University Shanghai 200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China

ISBN: (纸本)9781424494408

This paper we propose a multi-objective optimization model to deal with the capacity planning in semiconductor manufacturing system, which is a typical multi-objective problem. Unlike traditional optimization methods, our model combines case-based reasoning with adaptive resonance theory and multi-objective genetic algorithm, in which some constraints such as maximizing profits, utilization of capacities, minimizing unmet demands etc are considered. An illustration shows how these techniques work effectively is also presented. © 2011 IEEE.

关键词： Case based reasoning

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Unknown constrained mechanisms operation based on dynamic hybrid compliance control

Unknown constrained mechanisms operation based on dynamic hy...

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2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011

作者： Ma, Dedi Wang, Hesheng Chen, Weidong Department of Automation Shanghai JiaoTong University Shanghai 200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Harbin 150001 China

ISBN: (纸本)9781457721373

In order to operate unknown constrained mechanisms with assistive robot manipulators, a dynamic hybrid compliance control algorithm was proposed in the paper. The controller using the proposed algorithm was designed to estimate constrained frame, determine driving-axis and obtain control velocity. Firstly, the constrained frame was estimated online according to the previous motion direction, and a suitable direction was selected as driving-axis by selection matrix;then hybrid position/force control was adopted to decouple the driving-axis and non-driving-axis;finally, velocity control was used at the driving-axis and impedance control was used at the non-driving-axis. The proposed dynamic hybrid compliance control algorithm made manipulators find a suitable direction as the driving-axis to operate the constrained mechanisms. And the dynamic characteristics of operation were improved. The validity of the proposed method was verified by the experiments of autonomous door opening utilizing a 6-DoF manipulator. © 2011 IEEE.

关键词： Compliance control

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