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PV FAULTS: OVERVIEW, MODELING, PREVENTION AND DETECTION TECHNIQUES

PV FAULTS: OVERVIEW, MODELING, PREVENTION AND DETECTION TECH...

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IEEE Workshop on Control and Modeling for Power Electronics

作者： Mohammed Khorshed Alam Faisal H. Khan Jay Johnson Jack Flicker Power Engineering and Automation Research Lab (PEARL) Dept. of Electrical and Computer Engineering University of Utah Sandia National Laboratories

ISBN: (纸本)9781467349154

Recent PV faults and subsequent fire-hazards on April 5, 2009, in Bakersfield, California, and April 16, 2011, in Mount Holly, North Carolina provide evidence of a lack of knowledge among PV system manufacturers and installers about different PV faults. The conducted survey within the scope of this paper describes various faults in a PV plant, and explains the limitations of existing detection and suppression techniques. Different fault detection techniques proposed in literatures have been discussed and it was concluded that there is no universal fault detection technique that can detect and classify all faults in a PV system. Moreover, this digest proposes a transmission line model for PV panels that can be useful for interpreting faults in PV using different refelectomery methods.

关键词： Circuit faults Voltage measurement Fault detection Arrays Fault currents Current measurement Grounding

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Improvement of Petzval field curvature in projector lens optimization design

Improvement of Petzval field curvature in projector lens opt...

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2012 International Symposium on Photonics and Optoelectronics, SOPO 2012

作者： Tsai, Cheng-Mu Fang, Yi-Chin Dept. of Computer and Communication KSU Tainan Taiwan Dept. of Mechanical and Automation Engineering NKFUST Kaohsiung Taiwan

ISBN: (纸本)9781457709111

This paper focuses on the improvement of the Petzval field curvature aberration that is induced by the lens curvature and refractive index. Most primary aberrations can be effectively corrected by using aspherical lens while the Petzval filed curvature regarded as intrinsic to an optical system cannot easy be corrected through the high order coefficient of aspherical lens. With the global optimization of the genetic algorithm (GA), this study applies the basic selection, crossover and mutation operator to optimize a group of lens curvatures and thicknesses so that not only the Petzval field curvature aberration is effectively improved but also the specification requirement is met in a projector system. © 2012 IEEE.

关键词： Ray tracing

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Real Time Monitoring of Aging Process in Power Converters Using the SSTDR Generated Impedance Matrix

Real Time Monitoring of Aging Process in Power Converters Us...

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Annual IEEE Applied Power Electronics Conference and Exposition

作者： M. Sultana Nasrin Faisal H. Khan Power Engineering and Automation Research Lab (PEARL) Dept. of Electrical and Computer Engineering University of Utah Salt Lake City USA

ISBN: (纸本)9781467343541

A non-interfering measurement technique has been proposed in this paper to identify aging in various components in a power converter circuit. Several power MOSFETs and IGBTs were aged in a controlled environment, and spread spectrum time domain reflectometry (SSTDR) technique was applied to these components to determine the associated level of electrical degradation while they were connected in an energized circuit. Multiple impedance matrices have been created based on the measured reflection across multiple node pairs of the circuit, and these reflections are the true representations of the impedance across those node pairs. Therefore, these matrices provide key information about the level of electrical degradation associated to the core power components in the power circuit, and it is possible to predict the remaining life of the power converter by using this impedance matrices.

关键词： MOSFETs IGBTs SSTDR

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Multi-agent programming contest 2013: The teams and the design of their systems

Multi-agent programming contest 2013: The teams and the desi...

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1st International Workshop on engineering Multi-Agent Systems, EMAS 2013

作者： Ahlbrecht, Tobias Bender-Saebelkampf, Christian De Brito, Maiquel Christensen, Nicolai Christian Dix, Jürgen Franco, Mariana Ramos Heller, Hendrik Hess, Andreas Viktor Heßler, Axel Hübner, Jomi Fred Jensen, Andreas Schmidt Johnsen, Jannick Boese Köster, Michael Li, Chengqian Liu, Lu Morato, Marcelo Menezes Ørum, Philip Bratt Schlesinger, Federico Schmitz, Tiago Luiz Sichman, Jaime Simão De Souza, Kaio Siqueira Uez, Daniela Maria Villadsen, Jørgen Werner, Sebastian Woller, Øyvind Grønland Zatelli, Maicon Rafael Department of Informatics Clausthal University of Technology Julius-Albert-Str. 4 38678 Clausthal-Zellerfeld Germany Dept. of Computer Science Sun Yat-sen University Guangzhou 510006 China Algorithms Logic and Graphs Section Department of Applied Mathematics and Computer Science Technical University of Denmark Matematiktorvet DK-2800 Kongens Lyngby Denmark Brazil Distributed Artificial Intelligence Laboratory Technische Universität Berlin Germany Department of Automation and Systems Engineering Federal University of Santa Catarina CP 476 88040-900 Florianópolis - SC Brazil

ISBN: (纸本)9783642453427

Five teams participated in the Multi-Agent Programming Contest in 2013: All of them gained experience in 2012 already. In order to better understand which paradigms they used, which techniques they considered important and how much work they invested, the organisers of the contest compiled together a detailed list of questions (circa 50). This paper collects all answers to these questions as given by the teams. © 2013 Springer-Verlag.

关键词： Multi agent systems

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A frequency limited model reduction technique for linear discrete systems

A frequency limited model reduction technique for linear dis...

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Australian Control Conference (AUCC)

作者： Xin Du Ahmad Jazlan Victor Sreeram Roberto Togneri Abdul Ghafoor Shafishuhaza Sahlan School of Mechatronics Engineering and Automation Shanghai University Shanghai P. R. China Electronic and Computer Engineering University of Western Australia Western Australia WA Australia Department of Electrical Engineering National University of Sciences and Technology Rawalpindi Pakistan Control & Mechatronics Eng. Dept. (CMED) Universiti Teknologi Malaysia Skudai Johor Malaysia

This paper describes the model reduction framework for single-input single-output (SISO) discrete-time systems based on the preservation parameters such as Markov properties of the original system by applying a Frequency-Limited Impulse Response Gramian based Balanced Truncation method. This proposed method extends the Frequency-Limited Impulse Response Gramians model reduction method for continuous systems described in the recent paper in [20] to be applicable for discrete time systems. A numerical example is provided to compare the performances between various frequency limited model reduction methods at an arbitrarily selected frequency range within the passband of a digital filter. The stability of the reduced order models are also checked for each scenario.

关键词： Reduced order systems Observability Controllability Matrix decomposition Time-frequency analysis Equations Mathematical model

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Aided navigation techniques for indoor and outdoor unmanned vehicles

Aided navigation techniques for indoor and outdoor unmanned ...

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2012 5th International Conference on New Technologies, Mobility and Security, NTMS 2012

作者： Tuna, Gurkan Gulez, Kayhan Dept. of Computer Programming Trakya University Edirne Turkey Dept. of Control and Automation Engineering Yildiz Technical University Istanbul Turkey

ISBN: (纸本)9781467302296

This paper presents design considerations of indoor and outdoor navigation techniques proposed for unmanned vehicles (UV). In this paper, we mainly investigate the use and the advantages of wireless sensor networks (WSNs) for indoor navigation, and Global Positioning System (GPS) for outdoor navigation. The system primarily uses laser range finder (LRF) measurements for indoor navigation, and is based on Extended Kalman Filter (EKF). For outdoor navigation the system uses Inertial Navigation System (INS) measurements. At periodical intervals the system integrates the measurements of an absolute sensor to improve estimations. The absolute sensor is a WSN interface for indoor navigation, and a GPS receiver for outdoor navigation. Simulation studies were conducted using Unified System for automation and Robot Simulation (USARSim) and Player/Stage. The results of USARSim based simulations prove the advantages of integrating GPS measurements. Player/Stage based simulations show the advantages of integrating Received Signal Strength Indicator (RSSI) measurements obtained from WSN interfaces. In addition to the simulation studies, field tests with a custom-built Corobot autonomous robot platform will be realized to prove the effectiveness of the methods. © 2012 IEEE.

关键词： Wireless sensor networks

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Film Bulk Acoustic Resonator (FBAR) Based Power Converters: A New Trend Featuring EMI Reduction and High Power Density

Film Bulk Acoustic Resonator (FBAR) Based Power Converters: ...

引用

Annual IEEE Applied Power Electronics Conference and Exposition

作者： Abusaleh M. Imtiaz Faisal H. Khan Power Electronics and Automation Research Lab (PEARL) Dept. of Electrical and Computer Engineering Univ. of Utah Salt Lake City USA

ISBN: (纸本)9781467343541

In this paper, a series resonant converter and a LED driver have been implemented by using a film bulk acoustic resonators (FBAR) in place of the inductor. This MEMS device can offer very high inductance density with excellent Q factor and can be conveniently fabricated in a CMOS compatible process. FBARs are smaller in size and weight compared to an inductor offering the same inductance per volume and quality factor, and therefore,, FBAR based power converters can offer higher power density. Simulation and experimental results with zero voltage switching (ZVS) and zero current switching (ZCS) have been provided to validate the use of FBARs in power converter circuits. The EMI of a discrete inductor based converter has been compared to that of an FBAR based converter, and the FBAR based converter showed better EMI performance. To the knowledge of the authors, the use of FBAR in power converter circuits has not been reported in the literature yet.

关键词： LED FBAR EMI

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Mobile robot aided self-deploying wireless sensor networks for radiation leak detection

Mobile robot aided self-deploying wireless sensor networks f...

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2012 5th International Conference on New Technologies, Mobility and Security, NTMS 2012

作者： Tuna, Gurkan Gulez, Kayhan Mumcu, T. Veli Gungor, V. Cagri Dept. of Computer Programming Trakya University Edirne Turkey Dept. of Control and Automation Eng. Yildiz Technical University Istanbul Turkey Dept. of Computer Engineering Bahcesehir University Istanbul Turkey

ISBN: (纸本)9781467302296

This paper presents a mobile robot aided self deploying wireless sensor network aiming to detect radiation leaks and to measure radiation levels, and explains design considerations to prolong network life. Special attention is given to the factors which are important for the specific requirements of radiation leak detection. Wireless sensor networks (WSNs) provide numerous benefits to applications with low duty cycle, such as environmental monitoring, event detection, etc. However, the realization of these potential benefits directly depends on energy efficient and reliable communication and coordination capabilities of the deployed system. In this study, challenges of WSNs, deployment strategies using mobile robots, and energy harvesting techniques to maximize lifetime of WSNs are discussed. Also, a comparison of two different exploration strategies is shown with the results of our own application developed in C#. Main contributions of this study are discussions on mobile robot aided WSN deployment strategies and energy harvesting techniques to maximize WSN lifetime. © 2012 IEEE.

关键词： Wireless sensor networks

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Modified particle swarm optimization for pattern clustering

Modified particle swarm optimization for pattern clustering

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19th International Conference on Neural Information Processing, ICONIP 2012

作者： Swetha, K.P. Susheela Devi, V. Dept. Electrical Engineering Indian Institute of Science Bangalore 560012 India Dept. Computer Science and Automation Indian Institute of Science Bangalore 560012 India

ISBN: (纸本)9783642344862

Data clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning and data mining. Clustering is grouping of a data set or more precisely, the partitioning of a data set into subsets (clusters), so that the data in each subset (ideally) share some common trait according to some defined distance measure. In this paper we present the genetically improved version of particle swarm optimization algorithm which is a population based heuristic search technique derived from the analysis of the particle swarm intelligence and the concepts of genetic algorithms (GA). The algorithm combines the concepts of PSO such as velocity and position update rules together with the concepts of GA such as selection, crossover and mutation. The performance of the above proposed algorithm is evaluated using some benchmark datasets from Machine Learning Repository. The performance of our method is better than k-means and PSO algorithm. © 2012 Springer-Verlag.

关键词： Genetic algorithms

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Simultaneous feature selection and clustering using particle swarm optimization

Simultaneous feature selection and clustering using particle...

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19th International Conference on Neural Information Processing, ICONIP 2012

ISBN: (纸本)9783642344749

Data clustering groups data so that data which are similar to each other are in the same group and data which are dissimilar to each other are in different groups. Since generally clustering is a subjective activity, it is possible to get different clusterings of the same data depending on the need. This paper attempts to find the best clustering of the data by first carrying out feature selection and using only the selected features, for clustering. A PSO (Particle Swarm Optimization)has been used for clustering but feature selection has also been carried out simultaneously. The performance of the above proposed algorithm is evaluated on some benchmark data sets. The experimental results shows the proposed methodology outperforms the previous approaches such as basic PSO and Kmeans for the clustering problem. © 2012 Springer-Verlag.

关键词： Feature Selection

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