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40th International Congress and Exposition on Noise control engineering 2011, INTER-NOISE 2011

作者： Borucki, Sebastian Boczar, Tomasz Cichoń, Andrzej Zmarzly, Dariusz Faculty of Electrical Engineering Automatic Control and Computer Science Opole University of Technology ul. Proszkowska 76 Opole 45-758 Poland

ISBN: (纸本)9781618392800

Based on literature review and measurements performed on electric power stations which considered adjusted acoustic pressure level, generated during operation of high power transformer units with integrated on load tap changers, it can be stated that the main factors having influence on noise emission to surroundings are columns of fan coolers (cooling apparatus). The subject area presented in the paper considers measurements and value estimation of the adjusted acoustic pressure level occurring around cooler columns with two or three funs. The technical verification and comparative analysis were performed during factory tests. Paper includes determined values of noise generated during operation of fan coolers according to the rotational speed of the fan systems, distance from the (cooler) source by nominal rotational speed value and by height variation of the measuring position on the vertical symmetry axis of the investigated device. The main aim of works performed was estimation of the influence of the rotational speed of fans applied on the emitted to surroundings adjusted acoustic pressure level as well as comparative analysis of noise released to environment according to number of funs (a column with two and three funs). Copyright © (2011) by the Institute of Noise control engineering.

关键词： Power transformers

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Influence analysis of measuring transducer mount position on vibroacoustic parameters of signals registered on transformer tank with tap changer

Influence analysis of measuring transducer mount position on...

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40th International Congress and Exposition on Noise control engineering 2011, INTER-NOISE 2011

ISBN: (纸本)9781618392800

The subject area regards realization of scientific research works considering technical condition estimation of electric power transformer cores based on vibroacoustic measurements performed during their normal operation. Analyses of mechanical vibrations parameters determined in the frequency domain are presented in the paper. Measurements were carried out within laboratory experiments on a real transformer unit with an on load tab changer. The aim of investigational experiment performed was to determine the measuring transducer mount position on the tank of an under real conditions diagnosed transformer unit in which the vibroacoustic signals are characterized by highest amplitudes of the vibration indicators determined. Registration of measured vibroacoustic signals of the oil electric power middle voltage transformer under study was performed during idle running conditions, supplied with rating voltage and concurrently with magnetic circuit damage modeled - loosing of particular core plates. The measurements and analysis of vibroacoustic indicators determined were performed by use of specialist measuring apparatus from Brüel & Kjær - Pulse Dyn-XI system and Pulse LabShop programming environment. Copyright © (2011) by the Institute of Noise control engineering.

关键词： Power transformers

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De-noising 2D gel images using Wavelet transform based on genetic algorithm

De-noising 2D gel images using Wavelet transform based on ge...

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作者： Faheem, Muhamed Talaat Rashwan, Shaheera Sarhan, Amany Youssef, Bayumy A. Computer Science and Automatic Control Engineering Department Faculty of Engineering University of Tanta Tanta Egypt Informatics Research Institute Mubarak City for Science and Technology Borg ElArab Alexandria Egypt

ISBN: (纸本)9789604742813

In proteomics 2-dimensional SDS-polyacrylamide gel electrophoresis (2D-PAGE) is the most widely used method for analyzing protein mixtures qualitatively. There are, however, a lot of noise and measurement biases which needs to be accounted for both in the localization of spots as well as in the quantitative measurement of protein expression. Previous techniques for denoising 2D gels are based on thresholding, smoothing and spot recognition. Wavelet transformations have also been applied to denoise 2D gels, however these techniques are typically in the frequency domain and they tend to shift spots slightly. In this paper, we improve the protein spot detection process by wavelet de-noising based on genetic algorithm.

关键词： Gels

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Semi-adaptive feedback active control of MRI noise

Semi-adaptive feedback active control of MRI noise

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40th International Congress and Exposition on Noise control engineering 2011, INTER-NOISE 2011

作者： Meller, Michal Niedzwiecki, MacIej Tetsu, Hirofumi Kajikawa, Yoshinobu Faculty of Electronics Telecommunications and Computer Science Department of Automatic Control Gdansk University of Technology ul. Narutowicza 11/12 Gdansk Poland Department of Electrical and Electronic Engineering Faculty of Engineering Science Kansai University Suita-shi Osaka 564-8680 Japan

A feedback controller is proposed for cancellation of magnetic resonance imaging (MRI) noise. The design of the controller takes into account specific features of the MRI noise signal. Simulation results show that a c... 详细信息

ISBN: (纸本)9781618392800

关键词： Magnetic resonance imaging

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Intelligent diagnostics of devices with the use of infrared mapping images

Intelligent diagnostics of devices with the use of infrared ...

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International Students Conference on Electrodynamics and Mechatronics (SCE III)

作者： R. Gasz Faculty of Electrical Engineering Automatic Control and Computer Science Opole University of Technology Opole Poland

A correct diagnostics together with the early prediction of failure or malfunction of the system are the major issues in modern maintenance. Nowadays, the time-honored diagnostics may be inadequate and lead to omitting failures, resulting in higher costs of repairing damaged equipment. That is why the interest in intelligent diagnostics increases due to the possibility of better interpretation of the component status and early failure prediction. One of the ways of determining the device condition is to measure and analyze the temperature of multiple points on the device. Thermographics may show a beginning of significant wear of a component, and enable a repair or replacing before the failure appears. The paper presents the key aspects of the diagnostics with thermal images, including: technology mapping, mapping algorithms, together with a presentation of available software solutions.

关键词： Maintenance engineering Buildings Interpolation Temperature measurement Imaging Computational modeling Electrodynamics

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ORF-MOSAIC for adaptive control of a biomimetic arm

ORF-MOSAIC for adaptive control of a biomimetic arm

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2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011

作者： Ardakani, M. Mahdi Ghazaei Jörntell, Henrik Johansson, Rolf Department of Computer Science Faculty of Engineering Lund University 221 00 Lund Sweden Department of Experimental Medical Sciences Lund University Biomedical Center F10 221 84 Lund Sweden Department of Automatic Control Faculty of Engineering Lund University 221 00 Lund Sweden

ISBN: (纸本)9781457721373

This study is an attempt to take advantage of a cerebellar model to control a biomimetic arm. The cerebellar controller is a modified MOSAIC model which adaptively controls the arm. We call this model ORF-MOSAIC (Organized by Receptive Fields MOdular Selection And Identification for control). The arm features a musculoskeletal model which is controlled through muscle activations by means of optimization techniques. With as few as 16 modules, we were able to control the arm in a workspace of 30 x 30 cm. The system was able to adapt to an external field as well as handling new objects despite delays. The discussion section suggests that there are similarities between the microzones in the cerebellum and the modules of this new model. © 2011 IEEE.

关键词： Biomimetics

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Partitioning methods used in DBS treatments analysis results

Partitioning methods used in DBS treatments analysis results

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International Joint Conference on Neural Networks (IJCNN)

作者： Oana Geman Cornel Turcu Department of Automatic Control and Computers Faculty of Electrical Engineering and Computer Science University Stefan cel Mare of Suceava Suceava Romania

Parkinson's disease is a neurodegenerative disorder and is associated with motor symptoms, including tremor. The DBS (Deep Brain Stimulation) involves electrode implantation into subcortical structures for long-term stimulation at frequencies greater than 100Hz. The mechanism by which chronic, electrical Deep Brain Stimulation with high frequency, suppresses tremor in Parkinson's disease is unknown, but might involve a gradual change in network properties controlling the generation of tremor. First, we performed linear and nonlinear analysis of the tremor signals to determine a set of parameters and rules for recognizing the behavior of the investigated patient and to characterize the typical responses for several forms of DBS. Second, we found patterns for homogeneous group for data reduction. We used Data Mining and Knowledge discovery techniques to reduce the number of data. Then, we found "clusters" the most well-known used and commonly partitioning methods used: K-means and K-medoids. To support such predictions, we develop a model of the tremor, to perform tests determining the DBS reducing the tremor or inducing tolerance and lesion if the stimulation is chronic.

关键词： Satellite broadcasting Clustering algorithms Time series analysis Correlation Algorithm design and analysis Mathematical model Software algorithms

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ORF-MOSAIC for Adaptive control of a Biomimetic Arm

ORF-MOSAIC for Adaptive Control of a Biomimetic Arm

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IEEE International Conference on Robotics and Biomimetics

作者： M. Mahdi Ghazaei A. Henrik Jorntell Rolf Johansson Department of Computer Science Faculty of Engineering Lund University Department of Experimental Medical Sciences Section for Neurophysiology Lund University Department of Automatic Control Faculty of Engineering Lund University

ISBN: (纸本)9781457721366

This study is an attempt to take advantage of a cerebellar model to control a biomimetic arm. The cerebellar controller is a modified MOSAIC model which adaptively controls the arm. We call this model ORF-MOSAIC (Organized by Receptive Fields MOdular Selection And Identification for control). The arm features a musculoskeletal model which is controlled through muscle activations by means of optimization techniques. With as few as 16 modules, we were able to control the arm in a workspace of 30×30 cm. The system was able to adapt to an external field as well as handling new objects despite delays. The discussion section suggests that there are similarities between the microzones in the cerebellum and the modules of this new model.

关键词： Arm spiral arm adaptive control Cerebellum Biomimetics external electric field Workplace Standing Orders Epicoccum

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Feasibility implementation of voltage-current waveform telemetry system in power delivery system

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IEEJ Transactions on Fundamentals and Materials 2011年第4期131卷 288-294+10页

作者： Furukawa, Tatsuya Akagi, Keita Fukumoto, Hisao Itoh, Hideaki Wakuya, Hiroshi Hirata, Kenji Ohchi, Masashi Graduate School of Science and Engineering Saga University 1 Honjo-machi Saga 840-8502 Japan Department of Electric Control System NITTETSU ELEX CO. LTD. 1320-4 Maeda Outsuka Yahata-Higashi-ku Kitakyushu 805-8555 Japan Department of Electrical Electronics and Computer Engineering Faculty of Engineering Chiba Institute of Technology 2-17-1 Tsudanuma Narashino 275-0016 Japan

The electric power is indispensable for modern life. However, there is a problem of harmonic disturbance when the harmonic power runs into electronic devices. To overcome the problem and realize a stable supply of the electric power is an important issue. In this study, we have developed a voltage-current waveform telemetry system for the remote measurement of the harmonics in the power delivery lines. The system consists of sensors, preamplifiers, a single board computer, and power collectors. Improvements are made on all of these components except the sensors. The power collector is a coil that can be placed around the same power line that we measure. We have designed the power collector by a finite element method(FEM) so that it can provide enough electricity for the computer to work properly. Thus, no other power source such as a battery except the secondary rechargeable battery for the recovery is necessary at the measurement place. The preamplifier in the new system is a single-supply differential amplifier circuit, and the single board computer has an inexpensive SH-3 CPU. Through experiments, we have confirmed that the power collector can provide sufficient electricity and that the new system can successfully measure the waveforms and the harmonics in power delivery systems. © 2011 The Institute of electrical Engineers of Japan.

关键词： Embedded systems

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Gradient-based classification and representation of features from volume data

Gradient-based classification and representation of features...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Marius Gavrilescu Vasile Manta Eduard Gröller Technical University of Iasi Romania Vienna University of Technology Austria Faculty of Automatic Engineering and Computer Control Technical University of Iasi Romania Computer Science Department University of Bergen Norway

The extraction and representation of information from volume data are important research avenues in computer-based visualization. The interpretation of three- or multi-dimensional data from various scanning devices is important to medical imaging, diagnosis and treatment, reliability and sustainability analyses in various industrial branches, and, in more general terms, information visualization. In this paper, we present several approaches for the classification and representation of relevant information from volume data sets. The techniques are based on the gradient vector, a property directly derived from the original volume data. We show how this property can be computed and subsequently used for classification through gradient-based one- and multi-dimensional transfer functions, as well as for the enhancement of surface features. The described techniques are illustrated through images generated using our volume rendering framework, from Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) data sets. The resulting images show how gradient-based techniques are suited for improved volume classification and the better extraction of meaningful information.

关键词： Transfer functions Image color analysis Rendering (computer graphics) Computed tomography Magnetic resonance imaging Skin Support vector machine classification

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