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作者： Yang, Fan Shah, Sirish L. Xiao, Deyun Chen, Tongwen Dept. of Chemical and Materials Engineering University of Alberta Edmonton AB T6G 2G6 Canada Dept. of Automation Tsinghua University Beijing 100084 China Dept. of Electrical and Computer Engineering University of Alberta Edmonton AB T6G 2V4 Canada

ISBN: (纸本)9783902661937

The problem of multivariate alarm analysis and rationalization is complex and important in the area of smart alarm management due to the interrelationships between variables. Capturing and visualizing the correlation information, especially from historical alarm data directly, is beneficial for further analysis. In this paper, the Gaussian kernel method is applied to generate pseudo continuous time series from the original binary alarm data. This can reduce the influence of missed, false and chattering alarms. By taking into account the time lag between alarm variables, a correlation color map of the transformed or pseudo data is used to show the cluster of correlated variables with the alarm tags reordered to better group the correlated alarms. Thereafter statistical methods such as singular value decomposition techniques can be applied within each cluster to find the redundant alarm tags. This improved method is shown to be better than the alarm similarity color map when applied in the analysis of industrial alarm data. © 2011 IFAC.

关键词： Data visualization

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Unmanned vehicle-aided automated meter reading

Unmanned vehicle-aided automated meter reading

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6th International Conference on Broadband Communications and Biomedical Applications, IB2COM 2011

作者： Tuna, Gurkan Gungor, V. Cagri Gulez, Kayhan Trakya University Department of Computer Programming Edirne Turkey Bahçeşehir University Faculty of Engineering Department of Computer Engineering Istanbul Turkey Yildiz Technical University Electrical-Electronics Eng. Faculty Control and Automation Eng. Dept. Istanbul Turkey

ISBN: (纸本)9781467307680

This paper presents a novel approach of using unmanned vehicles for Automated Meter Reading (AMR) applications in rural areas where there are a few consumers scattered around a wide area. The proposed system does not require a fixed network infrastructure to transfer data to a central database, since data collection is carried out by unmanned vehicles. Compared to traditional meter reading systems, the use of unmanned vehicles for AMR brings several advantages, such as low cost operation, flexibility, and online system management. However, the realization of these potential gains directly depends on reliable communication capabilities of the deployed system and successful navigation of unmanned vehicles. Overall, in this paper, the design principles and challenges of using unmanned vehicles for AMR applications in rural areas have been presented. Also, the communication architecture of the proposed system has been explained and comparative simulation studies have been performed in terms of energy efficiency and navigation accuracy. © 2011 IEEE.

关键词： Wireless sensor networks

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Decoupling autopilot MIMO controller design

Decoupling autopilot MIMO controller design

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31st IASTED International Conference on Modelling, Identification, and Control, MIC 2011

作者： Bányász, Csilla Keviczky, László Dept. of Automation and Informatics Control Engineering Research Group of the H. Ac. of Sc. Computer and Automation Research Institute of the H. Ac. of Sc. Kende u 13-17 H-1111 Budapest Hungary

ISBN: (纸本)9780889868632

The principal lateral motion of an aircraft is described by a minimum of fourth order coupled state variable model. It is interesting to investigate how a decoupling controller can be designed. The Youla-parametrization is a simple method to design controllers. The KB-parametrization is a successful extension of this method for two-degree-of freedom (2DOF) systems. The paper extends this methodology for multivariable case and applies to the decoupling lateral control.

关键词： Controllers

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GoPoMoSA: A goal-oriented process modeling and simulation advisor

GoPoMoSA: A goal-oriented process modeling and simulation ad...

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2011 International Conference on Software and Systems Process, ICSSP 2011, Co-located with ICSE 2011

作者： Bai, Xu Huang, LiGuo Zhang, He Egyed, Alexander Dept. of Computer Science and Engineering Southern Methodist University Dallas TX 75205 United States National ICT Australia University of New South Wales Australia Institute for Software Engineering and Automation Johannes Kepler University Austria

ISBN: (纸本)9781450307307

This paper presents GoPoMoSA, a Goal-oriented Process Modeling and Simulation Advisor that semi-automatically discovers suitable Software Process Modeling and Simulation (SPMS) techniques for (inexperienced) process modelers to achieve their process modeling goals. GoPoMoSA takes the goal-oriented modeling approach that captures the associations among Process Modeling Stakeholder goals and existing SPMS techniques via Relevant Process Elements modeled in the knowledge graphs. We evaluated the accuracy and feasibility of GoPoMoSA with data collected from 212 published SPMS literatures and a real-world process modeling and simulation case on requirements traceability. Our results show that GoPoMoSA (1) was able to find suitable SPMS techniques based on stakeholder goals with an average of 85.38% accuracy;(2) helped novice process modelers effectively and efficiently achieve their goals. © 2011 ACM.

关键词： computer software

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Communication related design considerations of WSN-aided Multi-Robot SLAM

Communication related design considerations of WSN-aided Mul...

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IEEE International Conference on Mechatronics

作者： Tuna, Gurkan Gulez, Kayhan Gungor, V. Cagri Trakya University Vocational College of Technical Sciences Department of Computer Programming Edirne Turkey Yildiz Technical University Electrical-Electronics Eng. Faculty Control and Automation Eng. Dept. Istanbul Turkey Bahcesehir University Department of Computer Engineering Besiktas Istanbul Turkey

ISBN: (纸本)9781612849836

This paper presents the communication related design considerations of Wireless Sensor Network (WSN) aided Multi-Robot Simultaneous Localization and Mapping (SLAM). In this approach, multiple robots perform WSN-aided cooperative SLAM using only range values to landmarks in the environment by measuring the Received Signal Strength Indicator (RSSI) of the received radio messages, and odometry information. The SLAM algorithm proposed in this study uses the Rao-Blackwellized Particle Filters. In addition, the inherent communication problems in WSNs, and their effects on cooperative SLAM are explained in detail and shown with the results of The Network Simulator (ns-2) simulations. © 2011 IEEE.

关键词： Wireless sensor networks

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Fault Detection and Isolation of the Wind Turbine Benchmark: an Estimation-based Approach

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IFAC Proceedings Volumes 2011年第1期44卷 8295-8300页

作者： Xiaodong Zhang Qi Zhang Songling Zhao Riccardo Ferrari Marios M. Polycarpou Thomas Parisini Dept. of Electrical Engineering Wright State University USA Danieli Automation Buttrio (UD) Italy Dept. of Electrical and Computer Engineering University of Cyprus Cyprus Imperial College London (UK) and University of Trieste (Italy)

Abstract In this paper, a fault detection and isolation (FDI) method is developed for wind turbines based on a benchmark system model. The FDI method follows a general architecture developed in previous papers, where a fault detection estimator is used for fault detection, and a bank of fault isolation estimators are employed to determine the particular fault type/location. Each isolation estimator is designed based on a particular fault scenario under consideration. Some representative simulation results are given to show the effectiveness of the FDI method.

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Research on Fault Tree of Radar Launch System Based on Fuzzy Judgment

Research on Fault Tree of Radar Launch System Based on Fuzzy...

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International Conference on Control, automation and Systems engineering, CASE

作者： Xian-ju Zheng Wei Zhang Chun Xie Hang Luo Computer engineering dept. Chengdu Electromechanical College Chengdu China Automation engineering college University of Electronic Science and Technology of China Chengdu China

It is much more difficult to obtain failure probability of bottom-events of fault tree by means of traditional method if there has no enough or lack failure information of parts (or modules). In this article, a method of fuzzy evaluation based on weighted experts was presented to obtain fuzzy failure rate of bottom-events. The main technologies consisted in: membership function was used to quantify fuzzy evaluation; extension principle of fuzzy set theory was utilized to combine experts' opinion. On the basis of analyzing reasons for using related technologies, the fault tree of certain radar launch system was taken as an example to analyze and deduce fuzzy failure rate, and the features and functions of fuzzy evaluation were commented. In some extent, the method by using fuzzy evaluation approach to interpret and estimate failure possibility maybe make up for lack of traditional fault tree research method.

关键词： Fault trees Radar Pragmatics Educational institutions Klystrons Fuzzy set theory Reliability

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Improved Correlation Analysis and Visualization of Industrial Alarm Data

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IFAC Proceedings Volumes 2011年第1期44卷 12898-12903页

作者： Fan Yang Sirish L. Shah Deyun Xiao Tongwen Chen Dept. of Chemical & Materials Engineering University of Alberta Edmonton AB T6G 2G6 Canada (Tel: 780-492-5162) Dept. of Automation Tsinghua University Beijing 100084 China Dept. of Electrical & Computer Engineering University of Alberta Edmonton AB T6G 2V4 Canada

Abstract The problem of multivariate alarm analysis and rationalization is complex and important in the area of smart alarm management due to the interrelationships between variables. Capturing and visualizing the correlation information, especially from historical alarm data directly, is beneficial for further analysis. In this paper, the Gaussian kernel method is applied to generate pseudo continuous time series from the original binary alarm data. This can reduce the influence of missed, false and chattering alarms. By taking into account the time lag between alarm variables, a correlation color map of the transformed or pseudo data is used to show the cluster of correlated variables with the alarm tags reordered to better group the correlated alarms. Thereafter statistical methods such as singular value decomposition techniques can be applied within each cluster to find the redundant alarm tags. This improved method is shown to be better than the alarm similarity color map when applied in the analysis of industrial alarm data.

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Reconstructing static scene viewed through smoke using video

Reconstructing static scene viewed through smoke using video

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2011 18th IEEE International Conference on Image Processing, ICIP 2011

作者： Kiss, Ákos Szirányi, Tamás Budapest University of Technology and Economics Dept. of Control Engineering and Information Technology Magyar tudósok körútja 2 H-1117 Budapest Hungary Computer and Automation Research Institute Hungarian Academy of Sciences Distributed Events Analysis Research Group Kende u. 13-17 H-1111 Budapest Hungary

ISBN: (纸本)9781457713033

In this paper we present a method for reconstructing static scene viewed through thick smoke using multiple images. Based on spatiotemporal statistical approach our method works well on noisy videos containing swirling smoke. We apply statistical analysis on regions of color input images, and show the way to reconstruct scene by transforming images to alter mean and deviation locally. We introduce a method to extract necessary parameters using multiple frames of a video. We verify our method with the widely used physical model of aerosols, highlighting some differences from removing haze and fog - a widely studied area. Furthermore, our approach eliminates the need for complex optimization, making real-time processing possible. Results show that our method is capable of reconstructing scene in challenging cases. © 2011 IEEE.

关键词： Smoke

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Design of Adaptive Fuzzy Logic Controller for LED Driving Circuit

Design of Adaptive Fuzzy Logic Controller for LED Driving Ci...

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International Conference on Electric Information and Control engineering

作者： Yan Peng XiaoHan Li Huaping He Dept. of Computer Science Sichuan University of Science & Engineering Dept. of Automation and Electronic-information Sichuan University of Science & Engineering

ISBN: (纸本)9781424480364

DC-DC booster converter in PWM switch mode is used for high power white LED. Electromagnetic interference, load disturbance, etc existing in circuits make their analysis and control difficult. Because of this, on the basis of tradition PI controller an adaptive fuzzy logic controller is designed to adjust real time PI parameter through introducing two correction factors. The controller is then obtained through innovative search. The simulation results show that the Controller does not only make driving circuit have stronger response ability, but also effectively depress the overshoot.

关键词： Converter Instability Optimization Fuzzy logical control Adaptive

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