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Deterioration analysis of large-scale fan in power plant using factor analysis

Deterioration analysis of large-scale fan in power plant usi...

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2011 International Workshop on computer Science for Environmental engineering and EcoInformatics, CSEEE 2011

作者： He, Qing Zhao, Xiaotong Zhang, Jianding Huang, Xiaobin National Engineering Laboratory for Biomass Power Generation Equipment School of Energy Power and Mechanical Engineering North China Electric Power University Beijing 102206 China Division of Power System China Electric Power Research Institute Beijing 100192 China School of Control and Computer Engineering North China Electric Power University Beijing 102206 China

ISBN: (纸本)9783642226939

Under the given operation condition, the operating parameters of large-scale fan vary according to certain rule. With the fan aging, the rule is changing. In order to find the rule of deterioration of condition parameters of fan, the factor analysis is used to analyze condition parameters of fan, which date from different period under the same operation condition. It is proved by the examples that factor analysis is suitable for analyzing fan deterioration. © 2011 Springer-Verlag.

关键词： Deterioration

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MRI magnetic signature imaging, tracking and navigation for targeted micro/nano-capsule therapeutics

MRI magnetic signature imaging, tracking and navigation for ...

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2011 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： David Folio Christian Dahmen Tim Wortmann M. Arif Zeeshan Kaiyu Shou Salvador Pané Bradley J. Nelson Antoine Ferreira Sergej Fatikow Laboratoire PRISME ENSI de Bourges Bourges France Division Microrobotics and Control Engineering University of Oldenburg Oldenburg Germany Multi-Scale Robotics Laboratory Institute of Robotics and Intelligent Systems ETH Zurich Zurich Switzerland

The propulsion of nano-ferromagnetic objects by means of MRI gradients is a promising approach to enable new forms of therapy. In this work, necessary techniques are presented to make this approach work. This includes path planning algorithms working on MRI data, ferromagnetic artifact imaging and a tracking algorithm which delivers position feedback for the microdevice and a propulsion sequence to enable interleaved magnetic propulsion and imaging. Using a dedicated software environment integrating path-planning methods and real-time tracking, a clinical MRI system is adapted to provide this new functionality for potential controlled interventional targeted therapeutic applications. Through MRI-based sensing analysis, this paper aims to propose a framework to plan a robust pathway to enhance the navigation ability to reach deep locations in human body. The proposed approaches are validated with different experiments.

关键词： Magnetic resonance imaging Navigation Target tracking Uncertainty Planning Sensors

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Revealing Cluster Formation over Huge Volatile Robotic Data

Revealing Cluster Formation over Huge Volatile Robotic Data

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IEEE International Conference on Data Mining Workshops (ICDM Workshops)

作者： Nikos Mitsou Irene Ntoutsi Dirk Wollherr Costas Tzafestas Hans-Peter Kriegel Institute of Automatic Control Engineering Technische Universität München Germany School of Electrical and Computer Engineering Division of Signals Control and Robotics National and Technical University of Athens Greece Institute of Informatics Ludwig-Maximilians University of Munich Germany

In this paper, we propose a driven by the robotics field method for revealing global clusters over a fast, huge and volatile stream of robotic data. The stream comes from a mobile robot which autonomously navigates in an unknown environment perceiving it through its sensors. The sensor data arrives fast, is huge and evolves quickly over time as the robot explores the environment and observes new objects or new parts of already observed objects. To deal with the nature of data, we propose a grid-based algorithm that updates the grid structure and adjusts the so far built clusters online. Our method is capable of detecting object formations over time based on the partial observations of the robot at each time point. Experiments on real data verify the usefulness and efficiency of our method.

关键词： Vectors Three dimensional displays Robot sensing systems Robot kinematics Clustering algorithms

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New simplified model for an under-actuated quadruped robot in bounding motion

New simplified model for an under-actuated quadruped robot i...

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International Conference on control, Instrumentation, and Automation

作者： Hamed Kazemi Vahid Johari Majd Majid M. Moghaddam Intelligent Control Systems Laboratory School of Electrical and Computer Engineering Tarbiat Moalem University Tehran Iran Intelligent Control Systems Laboratory Tarbiat Modares University Tehran Iran Robotics and Mechatronics Laboratory Mechanical Engineering Department Tarbiat Moalem University Tehran Iran Mechanical Engineering Department Tarbiat Modares University Tehran Iran

In this paper, a quadruped robot is studied in bounding motion. A new simplified model of quadruped robot in bounding motion with four actuated and two unactuated joints is developed. The kinetic and potential energies of the under-actuated mechanical model of the quadruped robot are obtained and the dynamics of the robot model is derived using the Lagrangian method. It is shown that the dynamical equation of the proposed simplified model belongs to a class of second-order nonholonomic mechanical systems. The main motivation of this paper is to obtain quadruped model in bounding motion such that one can apply different control methods directly or after transformation in the obtained dynamic equations. Utilizing MATLAB, dynamics of the planar model has been simulated in backward and forward states. Physical parameters of the Little-Dog robot as an instance of the quadruped robot are considered in simulation The simulation is without control and therefore is unstable but it illustrates robot's manner in bounding motion before instability.

关键词： Mathematical model Legged locomotion Dynamics Equations Joints Robot kinematics

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Fast and energy-efficient constant-coefficient FIR filters using residue number system 11

Fast and energy-efficient constant-coefficient FIR filters u...

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International Symposium on Low Power Electronics and Design (ISLPED)

作者： Piotr Patronik Krzysztof Berezowski Stanisław J. Piestrak Janusz Biernat Aviral Shrivastava Institute of Computer Engineering Control and Robotics Wrocław University of Technology Wroclaw Poland IRISA Lannion France Compiler Microarchitecture Laboratory Arizona State University Tempe AZ USA

ISBN: (纸本)9781612846606

In this paper, we present constant-coefficient finite impulse response (FIR) filters design using residue number system (RNS) arithmetic. The novelty of our approach rests in an attempt to maximize the accumulated benefit of the application of RNS to the design of constant coefficient filters. To achieve this, we consider the impact of RNS on many layers: from coefficient representation and techniques of sharing of subexpressions in the multiplier block (MB), to its optimized usage in the MB and accumulation pipeline hardware design. As a result, we propose a common subexpression elimination (CSE) based synthesis technique for RNS-based MBs, along with a high-performance RNS-based FIR filter architecture that employs RNS arithmetic principles but implements them mainly using more efficient 2's complement hardware. Several filters with numbers of taps ranging from 25 to 326 and dynamic ranges from 24 to 50 bits have been synthesized using TSMC 90 nm LP kit and Cadence RTL Compiler. Comparison of power, delay, and area of the new filters implemented using the 4- and 5-moduli RNSs against various equivalent 2's complement counterparts show uniform improvement in performance and power efficiency, often accompanied by significant reduction in area/power consumption as compared to 2's complement implementations. We observed up to 22% improvement in peformance (19% reduction in area) within bounded power envelope, or up to 14% reduction in power consumption (12% reduction in area) at same frequency.

关键词： Finite impulse response filter Adders Pipelines Hardware Spirals Power demand Delay

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Extracting salient lines by Visual Attention for omnidirectional image classification

Extracting salient lines by Visual Attention for omnidirecti...

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IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP)

作者： AmirHossein Habibian Majid Nili-Ahmadabadi Babak Nadjar Araabi Robotics and AI Laboratory Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering Faculty of Engineering University of Tehran Tehran Iran School of Cognitive Sciences Institute for Research in Fundamental Sciences Tehran Iran

Representing an image as a set of its key and interesting lines facilitates the image understanding and classification. In this paper, we propose a method to extract the significant and interesting lines of the scene, which probably are useful in image classification. The proposed method is inspired from the Visual Attention, which is a perceptual mechanism in human and other primates that direct their perceptions to the limited regions of the scene. The attended regions are usually valuable in performing the task. Since the approach of using the lines to classify the images is particularly useful for omnidirectional images, we specialize our method to deal with these kinds of images. In the experiments, we demonstrate how our proposed methods improve the image classification performance with processing only small parts of the input images.

关键词： Feature extraction Visualization Image classification Gabor filters Image edge detection Histograms Computational modeling

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Exploiting motion priors in visual odometry for vehicle-mounted cameras with non-holonomic constraints

Exploiting motion priors in visual odometry for vehicle-moun...

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2011 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Davide Scaramuzza Andrea Censi Kostas Daniilidis GRASP laboratory Department of Computer and Information Science School of Engineering and Applied Science University of Pennsylvania Philadelphia USA GRASP laboratory University of Pennsylvania USA Control and Dynamical Systems Department Division of Engineering and Applied Sciences California Institute of Technology Pasadena USA

This paper presents a new method to estimate the relative motion of a vehicle from images of a single camera. The biggest problem in visual motion estimation is data association; matched points contain many outliers that must be detected and removed so that the motion can be estimated accurately. A very established method for robust motion estimation in the presence of outliers is the five-point RANSAC algorithm. Five-point RANSAC operates by generating motion hypotheses from randomly-sampled minimal sets of five-point correspondences. These hypotheses are then tested against all data points and the motion hypothesis that after a given number of iterations returns the largest number of inliers is taken as the solution to the problem. A typical drawback of RANSAC is that the number of iterations required to find a suitable solution grows exponentially with the number of outliers, often requiring thousands of iterations for typical data from urban environments. Another problem is that - due to its random nature - sometimes the found solution is not the “best” solution to the motion estimation problem. In this paper, we describe an algorithm for relative motion estimation in the presence of outliers, which does not rely on RANSAC. Contrary to RANSAC, motion hypotheses are not generated from randomly-sampled point correspondences, but from a “proposal distribution” that is built by exploiting the vehicle non-holonomic constraints. We show that not only is the proposed algorithm significantly faster than RANSAC, but that the returned solution may also be better in that it favors the underlying motion model of the vehicle, thus overcoming the typical limitations of RANSAC. Additionally, the proposed algorithm provides the likelihood of the motion estimate, which can be very useful in all those applications where a probability distribution of the position of the vehicle is required (e.g., SLAM). Finally, the performance of the proposed method is compared to that of the sta

关键词： Vehicles Cameras Proposals Motion estimation Wheels Urban areas Three dimensional displays

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Adaptive and Repetitive controller for Robotic Manipulators with Slowly Updating Scheme Using B-Spline Shape Function

Adaptive and Repetitive Controller for Robotic Manipulators ...

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IEEE International Conference on robotics and Biomimetics

作者： Pannatee Rakprayoon Peerayot Sanposh Nattapon Chayopitak Intelligent Mechatronics Automation Robotics and Control Laboratory Department of Electrical Engineering Kasetsart University Industrial Control and Automation Laboratory National Electronics and Computer Technology Center

ISBN: (纸本)9781457721366

This paper studies the real-time adaptive and repetitive control problem using the Desired Compensation Learning Law (DCLL) that has the advantage of robustness under the presence of unknown parameters with low memory requirement. The control structure of DCLL consists of a feedforward compensator that is designed by a linear combination of shape functions that is adaptable to parameter variations;hence the selection of appropriate shape functions plays an important role in the adaptive ability and accuracy of DCLL. In this study, the B-spline shape function is proposed to be used under the slowly updating scheme and the obtained results show that the robustness and accuracy of the tracking can be greatly improved even under payload variation and torque limits.

关键词： shape functions Repetitive controllers Self tuning splines (mathematics) Scheme Robot Manipulator adaptive capacity memory requirements control Architecture Manipulators Unknown parameter Linear Combination

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Computational image analysis for determination of the oil palm fruit maturity

Computational image analysis for determination of the oil pa...

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IASTED International Conference on Computational Photography, CPhoto 2011

作者： Razali, Mohammad Hudzari Ismail, Wan Ishak Wan Harun, Mohammad Haniff B. Ramli, Abdul Rahman Sulaiman, Muhammad Nasir Intelligent System and Robotics Laboratory Institute of Advanced Technology 43400 Universiti Putra Malaysia Serdang Selangor Malaysia Department of Biological and Agriculture Engineering Faculty of Engineering 43400 Universiti Putra Malaysia Serdang Selangor Malaysia Department of Computer Science and Information Technology Faculty of Science Computer and Information Technology 43400 Universiti Putra Malaysia Serdang Selangor Malaysia Biological Research Division Malaysian Palm Oil Board No. 6 Persiaran Institusi Bandar Baru Bangi 43000 Kajang Selangor Malaysia Department of Agriculture Universiti Sultan Zainal Abidin Kampus Kota Kuala Terengganu 20400 Terengganu Malaysia

ISBN: (纸本)9780889868748

The experiment was conducted to determine the Hue optical properties of the three categories of Fresh Fruit Bunches (FFB) namely unripe, underripe and ripe. The Nikon Coolpix 4500 digital camera with tele-converter zooming and the Keyence machine vision were used to capture the FFB images with two different settings of natural environment and direct sunlight. The species of oil palm tree used for the experiments were Elaeis Oleifera and Elaeis Guineensis Jacq. The images from the Nikon digital camera were analysed for optical properties of Red, Green, Blue (RGB) and then convert to Hue value using developed graphical user interface (GUI). The Hue values will then be compared to the value obtained from Keyence machine vision. The images of oil palm FFB in plantation were captured with setting cameras parameter namely shutterspeed which set to 0.125 seconds, image sensor's sensitivity (ISO) was set to Normal and white balance were calibrated using the standard white calibration CR-A74. The lighting intensity under oil palm canopy was simultaneously recorded and monitored using Extech Light Meter Datalogger. Using Analysis of Variance (ANOVA), the ratio of test statistic of F with F critical for experiments under natural environment of oil palm plantation indicated the best differences of the hue optical properties among different maturity level of unripe, ripe and overripe FFB. Using the SAS programming for statistical analysis, the Hue and Red color values were found had significant effect to distinguish the maturity level (fm) of FFB with Pr > F are showed less than 0.01. The Green and Blue color values were not significant effect to differentiate the FFB maturity level which indicated the value of Pr > F showed 0.0243 and 0.9938 respectively. The Hue and Blue color values were not interaction with different lighting condition and the maturity level which indicated Pr > F for ml*fm showed 0.0668 and 0.1667 respectively. From the ANOVA analysis, the Hue is the best c

关键词： computer vision

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Hovering flight improvement of a quad-rotor mini UAV using Brushless DC motors

Hovering flight improvement of a quad-rotor mini UAV using B...

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作者： Sanchez, A. García Carrillo, L.R. Rondon, E. Lozano, R. Garcia, O. Robotics and Advanced Manufacturing Division Research Center for Advanced Studies-Cinvestav Carretera Saltillo-Monterrey km. 13.5 Ramos Arizpe Coahuila 25900 Mexico UMR CNRS 6599 Université de Technologie de Compiègne Heudiasyc Centre de Recherches de Royallieu B.P. 20529 Compiègne 60205 France Franco-Mexican Laboratory on Computer Science and Control UMI-CNRS 3175 Av. Instituto Politecnico Nacional No. 2508 San Pedro Zacatenco México DF 07360 Mexico

This paper present the design of a novel embedded control system for improving attitude stabilization of a quad-rotor mini UAV. The control strategy uses low cost components and includes an extra control loop based on motor armature current feedback. This additional control loop significantly improves the performance of the quad-rotor attitude stability. This technique results in a controller that is robust with respect to external disturbances as has been observed experimentally. © 2010 Springer Science+Business Media B.V.

关键词： Brushless DC motors

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