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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Filipe Araujo David Santiago Diogo Ferreira Jorge Farinha Patricio Domingues Luis Moura Silva Etienne Urbah Oleg Lodygensky Haiwu He Attila Csaba Marosi Gabor Gombas Zoltan Balaton Zoltan Farkas Peter Kacsuk Dept. of Informatics Engineering University of Coimbra Portugal Portugal School of Technology and Management Polytechnic Institute of Leiria Portugal LAL Universite Paris Sud France INRIA France MTA SZTAKI Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary MTA SZTAKI Computer and Automation Research Institute of the Hungarian Academy of Sciences H-1528 Budapest Hungary

EDGeS is an European funded Framework Program 7 project that aims to connect desktop and service grids together. While in a desktop grid, personal computers pull jobs when they are idle, in service grids there is a scheduler that pushes jobs to available resources. The work in EDGeS goes well beyond conceptual solutions to bridge these grids together: it reaches as far as actual implementation, standardization, deployment, application porting and training. One of the work packages of this project concerns monitoring the overall EDGeS infrastructure. Currently, this infrastructure includes two types of desktop grids, BOINC and XtremWeb, the EGEE service grid, and a couple of bridges to connect them. In this paper, we describe the monitoring effort in EDGeS: our technical approaches, the goals we achieved, and the plans for future work.

关键词： Electronic mail Bridges Grid computing Processor scheduling computerized monitoring informatics Project management technology management engineering management Automation

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Grover quantum searching algorithm based on weighted targets

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Journal of Systems engineering and Electronics 2008年第2期19卷 363-369页

作者： Li Panchi Li Shiyong Dept. of Control Science and Engineering Harbin Inst. of Technology Harbin 150001 P. R. China Dept. of Computer Science and Engineering Daqing Petroleum Inst. Daqing 163318 P. R. China

The current Grover quantum searching algorithm cannot identify the difference in importance of the search targets when it is applied to an unsorted quantum database, and the probability for each search target is equal. To solve this problem, a Grover searching algorithm based on weighted targets is proposed. First, each target is endowed a weight coefficient according to its importance. Applying these different weight coefficients, the targets are represented as quantum superposition states. Second, the novel Grover searching algorithm based on the quantum superposition of the weighted targets is constructed. Using this algorithm, the probability of getting each target can be approximated to the corresponding weight coefficient, which shows the flexibility of this algorithm. Finally, the validity of the algorithm is proved by a simple searching example.

关键词： Grover algorithm targets weighting quantum searching quantum computing.

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Learning algorithm and application of quantum BP neural networks based on universal quantum gates

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Journal of Systems engineering and Electronics 2008年第1期19卷 167-174页

A quantum BP neural networks model with learning algorithm is proposed. First, based on the universality of single qubit rotation gate and two-qubit controlled-NOT gate, a quantum neuron model is constructed, which is composed of input, phase rotation, aggregation, reversal rotation and output. In this model, the input is described by qubits, and the output is given by the probability of the state in which （1） is observed. The phase rotation and the reversal rotation are performed by the universal quantum gates. Secondly, the quantum BP neural networks model is constructed, in which the output layer and the hide layer are quantum neurons. With the application of the gradient descent algorithm, a learning algorithm of the model is proposed, and the continuity of the model is proved. It is shown that this model and algorithm are superior to the conventional BP networks in three aspects： convergence speed, convergence rate and robustness, by two application examples of pattern recognition and function approximation.

关键词： quantum computing universal quantum gate quantum neuron quantum neural networks

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Quantifying color image distortions based on adaptive spatio-chromatic signal decompositions

Quantifying color image distortions based on adaptive spatio...

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IEEE International Conference on Image Processing

作者： Umesh Rajashekar Zhou Wang Eero P. Simoncelli Centre of Neural Science and Courant Institute of Mathematical Sciences New York University USA Ctr. for Neural Science New York University USA Dept. of Electrical and Computer Engineering University of Waterloo Canada Ctr. for Neural Science and Courant Inst. of Mathematical Sciences New York University USA

We describe a framework for quantifying color image distortion based on an adaptive signal decomposition. Specifically, local blocks of the image error are decomposed using a set of spatio-chromatic basis functions that are adapted to the spatial and color structure of the original image. The adaptive functions are chosen to isolate specific distortions such as luminance, hue, and saturation changes. These adaptive basis functions are used to augment a generic orthonormal basis, and the overall distortion is computed from the weighted sum of the coefficients of the resulting overcomplete decomposition, with smaller weights chosen for the adaptive terms. A set of preliminary experiments show that the proposed distortion measure is consistent with human perception of color images subjected to a variety of different common distortions. The framework may be easily extended to include any form of continuous spatio-chromatic distortion.

关键词： Color Signal resolution Humans Distortion measurement Gray-scale Lighting Visual system computer errors Electric variables measurement Testing

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Power Saving Methods for MBMS Transmissions in UTRAN

Power Saving Methods for MBMS Transmissions in UTRAN

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13th IEEE Symposium on computers and Communications

作者： Alexiou, Antonios Bouras, Christos Kokkinos, Vasileios Research Academic Computer Technology Institute Greece and Computer Engineering and Informatics Dept. Univ. of Patras Greece

ISBN: (纸本)9781424427024

The demand for wireless multimedia communications thrives in today's consumer and corporate market. The need to evolve multimedia applications and services is at a critical point given the proliferation and integration of wireless systems. Multimedia Broadcast Multicast Services (MBMS) was introduced in Third Generation Partnership Project (3GPP) Release 6 in order to more efficiently use network and radio resources for the transmission of multimedia data, both in the core network and most importantly in the air interface of UTRAN (UMTS Terrestrial Radio Access Network). However, several obstacles, regarding the high power requirements, should be overcome for the realization of MBMS. The fact that Node B's transmission power is a limited resource and must be shared among all MBMS users in a cell indicates the need for power control during MBMS transmissions. Several techniques, such as Dynamic Power Setting and Macro Diversity Combining, have been proposed in order to reduce the power requirements of delivering multicast traffic to MBMS users. This paper examines the efficiency of the utilization of these power saving techniques, by presenting simulation results that will reveal the amount of power that is saved.

关键词： Power control

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Implementing distributed multicost routing in mobile ad hoc networks using DSR

Implementing distributed multicost routing in mobile ad hoc ...

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6th ACM International Symposium on Mobility Management and Wireless Access, MobiWac 2008

作者： Papageorgiou, Christos A. Kokkinos, Panagiotis C. Varvarigos, Emmanouel A. Dept. of Computer Engineering and Informatics University of Patras Greece Research Academic Computer Technology Institute Patras Greece

ISBN: (纸本)9781605580555

In this work we study the distributed implementation of multicost routing in mobile ad hoc networks. In contrast to single-cost routing, where each path is characterized by a scalar, in multicost routing a vector of cost parameters is as- signed to each link, from which the cost vectors of the paths are calculated. These parameters are combined according to an optimization function for selecting the optimal path. Up until now the performance of multicost routing in ad hoc networks has been evaluated either at a theoretical level or by assuming that nodes are static and have full knowledge of the network topology and nodes' state. In the present paper we assess the performance of multicost routing, based on energy-related parameters, in mobile ad hoc networks by embedding its logic in the Dynamic Source Routing (DSR) algorithm, which is a well-known distributed routing algo- rithm. We compare the performance of the multicost-DSR algorithm to that of the original DSR algorithm under var- ious node mobility scenarios. The results confirm that the multicost-DSR algorithm improves the performance of the network in comparison to the original DSR, by reducing en- ergy consumption overall in the network, spreading energy consumption more uniformly across the network, and reduc- ing the packet drop probability and delivery delay. Copyright 2008 ACM.

关键词： Mobile ad hoc networks

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Measurement of the W+W− Cross Section in s=7 TeV pp Collisions with ATLAS

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Physical Review Letters 2011年第4期107卷 041802-041802页

作者： G. Aad B. Abbott J. Abdallah A. A. Abdelalim A. Abdesselam O. Abdinov B. Abi M. Abolins H. Abramowicz H. Abreu E. Acerbi B. S. Acharya D. L. Adams T. N. Addy J. Adelman M. Aderholz S. Adomeit P. Adragna T. Adye S. Aefsky J. A. Aguilar-Saavedra M. Aharrouche S. P. Ahlen F. Ahles A. Ahmad M. Ahsan G. Aielli T. Akdogan T. P. A. Åkesson G. Akimoto A. V. Akimov A. Akiyama M. S. Alam M. A. Alam S. Albrand M. Aleksa I. N. Aleksandrov F. Alessandria C. Alexa G. Alexander G. Alexandre T. Alexopoulos M. Alhroob M. Aliev G. Alimonti J. Alison M. Aliyev P. P. Allport S. E. Allwood-Spiers J. Almond A. Aloisio R. Alon A. Alonso M. G. Alviggi K. Amako P. Amaral C. Amelung V. V. Ammosov A. Amorim G. Amorós N. Amram C. Anastopoulos T. Andeen C. F. Anders K. J. Anderson A. Andreazza V. Andrei M-L. Andrieux X. S. Anduaga A. Angerami F. Anghinolfi N. Anjos A. Annovi A. Antonaki M. Antonelli S. Antonelli A. Antonov J. Antos F. Anulli S. Aoun L. Aperio Bella R. Apolle G. Arabidze I. Aracena Y. Arai A. T. H. Arce J. P. Archambault S. Arfaoui J-F. Arguin E. Arik M. Arik A. J. Armbruster O. Arnaez C. Arnault A. Artamonov G. Artoni D. Arutinov S. Asai R. Asfandiyarov S. Ask B. Åsman L. Asquith K. Assamagan A. Astbury A. Astvatsatourov G. Atoian B. Aubert B. Auerbach E. Auge K. Augsten M. Aurousseau N. Austin R. Avramidou D. Axen C. Ay G. Azuelos Y. Azuma M. A. Baak G. Baccaglioni C. Bacci A. M. Bach H. Bachacou K. Bachas G. Bachy M. Backes M. Backhaus E. Badescu P. Bagnaia S. Bahinipati Y. Bai D. C. Bailey T. Bain J. T. Baines O. K. Baker M. D. Baker S. Baker F. Baltasar Dos Santos Pedrosa E. Banas P. Banerjee Sw. Banerjee D. Banfi A. Bangert V. Bansal H. S. Bansil L. Barak S. P. Baranov A. Barashkou A. Barbaro Galtieri T. Barber E. L. Barberio D. Barberis M. Barbero D. Y. Bardin T. Barillari M. Barisonzi T. Barklow N. Barlow B. M. Barnett R. M. Barnett A. Baroncelli A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa P. Barrillon R. Bartoldus A. E. Barton D. Bartsch V. Bartsch R. L. Bates L. Batkova J. R. Batley A. Battaglia M. Battist Fakultät für Mathematik und Physik Albert-Ludwigs-Universität Freiburg i.Br. Germany Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA Institut de Física d’Altes Energies and Universitat Autònoma de Barcelona and ICREA Barcelona Spain Section de Physique Université de Genève Geneva Switzerland Department of Physics Oxford University Oxford United Kingdom Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan Department of Physics Oklahoma State University Stillwater Oklahoma USA Department of Physics and Astronomy Michigan State University East Lansing Michigan USA Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel LAL Univ. Paris-Sud and CNRS/IN2P3 Orsay France INFN Sezione di Milano Italy Dipartimento di Fisica Università di Milano Milano Italy INFN Gruppo Collegato di Udine Italy ICTP Trieste Italy Physics Department Brookhaven National Laboratory Upton New York USA Department of Physics Hampton University Hampton Virginia USA Department of Physics Yale University New Haven Connecticut USA Max-Planck-Institut für Physik (Werner-Heisenberg-Institut) München Germany Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Department of Physics Queen Mary University of London London United Kingdom Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Department of Physics Brandeis University Waltham Massachusetts USA Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Portugal Institut für Physik Universität Mainz Mainz Germany Department of Physics Boston University Boston Massachusetts USA Department of Physics and Astronomy Stony Brook University Stony Brook New York USA Physics Department University of Texas at Dallas Richardson Texas USA INFN Sezione di Roma Tor Vergata Italy Dipartimento di Fisica Università di Roma Tor Vergata Roma Italy Depart

This Letter presents a measurement of the W+W− production cross section in s=7 TeV pp collisions by the ATLAS experiment, using 34 pb−1 of integrated luminosity produced by the Large Hadron Collider at CERN. Selecting events with two isolated leptons, each either an electron or a muon, 8 candidate events are observed with an expected background of 1.7±0.6 events. The measured cross section is 41−16+20(stat)±5(syst)±1(lumi) pb, which is consistent with the standard model prediction of 44±3 pb calculated at next-to-leading order in QCD.

关键词： Elementary particles

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Search for the Higgs Boson in the H→WW→lνjj Decay Channel in pp Collisions at s=7 TeV with the ATLAS Detector

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Physical Review Letters 2011年第23期107卷 231801-231801页

作者： G. Aad B. Abbott J. Abdallah A. A. Abdelalim A. Abdesselam O. Abdinov B. Abi M. Abolins H. Abramowicz H. Abreu E. Acerbi B. S. Acharya D. L. Adams T. N. Addy J. Adelman M. Aderholz S. Adomeit P. Adragna T. Adye S. Aefsky J. A. Aguilar-Saavedra M. Aharrouche S. P. Ahlen F. Ahles A. Ahmad M. Ahsan G. Aielli T. Akdogan T. P. A. Åkesson G. Akimoto A. V. Akimov A. Akiyama M. S. Alam M. A. Alam J. Albert S. Albrand M. Aleksa I. N. Aleksandrov F. Alessandria C. Alexa G. Alexander G. Alexandre T. Alexopoulos M. Alhroob M. Aliev G. Alimonti J. Alison M. Aliyev P. P. Allport S. E. Allwood-Spiers J. Almond A. Aloisio R. Alon A. Alonso M. G. Alviggi K. Amako P. Amaral C. Amelung V. V. Ammosov A. Amorim G. Amorós N. Amram C. Anastopoulos L. S. Ancu N. Andari T. Andeen C. F. Anders G. Anders K. J. Anderson A. Andreazza V. Andrei M-L. Andrieux X. S. Anduaga A. Angerami F. Anghinolfi N. Anjos A. Annovi A. Antonaki M. Antonelli A. Antonov J. Antos F. Anulli S. Aoun L. Aperio Bella R. Apolle G. Arabidze I. Aracena Y. Arai A. T. H. Arce J. P. Archambault S. Arfaoui J-F. Arguin E. Arik M. Arik A. J. Armbruster O. Arnaez C. Arnault A. Artamonov G. Artoni D. Arutinov S. Asai R. Asfandiyarov S. Ask B. Åsman L. Asquith K. Assamagan A. Astbury A. Astvatsatourov G. Atoian B. Aubert E. Auge K. Augsten M. Aurousseau N. Austin G. Avolio R. Avramidou D. Axen C. Ay G. Azuelos Y. Azuma M. A. Baak G. Baccaglioni C. Bacci A. M. Bach H. Bachacou K. Bachas G. Bachy M. Backes M. Backhaus E. Badescu P. Bagnaia S. Bahinipati Y. Bai D. C. Bailey T. Bain J. T. Baines O. K. Baker M. D. Baker S. Baker E. Banas P. Banerjee Sw. Banerjee D. Banfi A. Bangert V. Bansal H. S. Bansil L. Barak S. P. Baranov A. Barashkou A. Barbaro Galtieri T. Barber E. L. Barberio D. Barberis M. Barbero D. Y. Bardin T. Barillari M. Barisonzi T. Barklow N. Barlow B. M. Barnett R. M. Barnett A. Baroncelli G. Barone A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa P. Barrillon R. Bartoldus A. E. Barton D. Bartsch V. Bartsch R. L. Bates L. Batkova J. R. Batley A. Battaglia M. Ba Fakultät für Mathematik und Physik Albert-Ludwigs-Universität Freiburg i. Br. Germany Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA Institut de Física d’Altes Energies and Departament de Física de la Universitat Autònoma de Barcelona and ICREA Barcelona Spain Section de Physique Université de Genève Geneva Switzerland Department of Physics Oxford University Oxford United Kingdom Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan Department of Physics Oklahoma State University Stillwater Oklahoma USA Department of Physics and Astronomy Michigan State University East Lansing Michigan USA Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel LAL Univ. Paris-Sud and CNRS/IN2P3 Orsay France INFN Sezione di Milano Italy Dipartimento di Fisica Università di Milano Milano Italy INFN Gruppo Collegato di Udine Italy ICTP Trieste Italy Physics Department Brookhaven National Laboratory Upton New York USA Department of Physics Hampton University Hampton Virginia USA Department of Physics Yale University New Haven Connecticut USA Max-Planck-Institut für Physik (Werner-Heisenberg-Institut) München Germany Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Department of Physics Queen Mary University of London London United Kingdom Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Department of Physics Brandeis University Waltham Massachusetts USA Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain Institut für Physik Universität Mainz Mainz Germany Department of Physics Boston University Boston Massachusetts USA Department of Physics and Astronomy Stony Brook University Stony Brook New York USA Physics Department University of Texas at Dallas Richardson Texas USA INFN Sezione di Roma Tor Vergata Italy Dipartimento di Fisica Università di Roma Tor Vergata R

A search for a Higgs boson has been performed in the H→WW→ℓνjj channel in 1.04 fb−1 of pp collision data at s=7 TeV recorded with the ATLAS detector at the Large Hadron Collider. No significant excess of events is observed over the expected background and limits on the Higgs boson production cross section are derived for a Higgs boson mass in the range 240 GeV

关键词： HIGGS bosons BOSONS LARGE Hadron Collider (France & Switzerland) STANDARD model (Nuclear physics)

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Search for a Standard Model Higgs Boson in the H→ZZ→ℓ+ℓ−νν¯ Decay Channel with the ATLAS Detector

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Physical Review Letters 2011年第22期107卷 221802-221802页

作者： G. Aad B. Abbott J. Abdallah A. A. Abdelalim A. Abdesselam O. Abdinov B. Abi M. Abolins H. Abramowicz H. Abreu E. Acerbi B. S. Acharya D. L. Adams T. N. Addy J. Adelman M. Aderholz S. Adomeit P. Adragna T. Adye S. Aefsky J. A. Aguilar-Saavedra M. Aharrouche S. P. Ahlen F. Ahles A. Ahmad M. Ahsan G. Aielli T. Akdogan T. P. A. Åkesson G. Akimoto A. V. Akimov A. Akiyama M. S. Alam M. A. Alam J. Albert S. Albrand M. Aleksa I. N. Aleksandrov F. Alessandria C. Alexa G. Alexander G. Alexandre T. Alexopoulos M. Alhroob M. Aliev G. Alimonti J. Alison M. Aliyev P. P. Allport S. E. Allwood-Spiers J. Almond A. Aloisio R. Alon A. Alonso M. G. Alviggi K. Amako P. Amaral C. Amelung V. V. Ammosov A. Amorim G. Amorós N. Amram C. Anastopoulos L. S. Ancu N. Andari T. Andeen C. F. Anders G. Anders K. J. Anderson A. Andreazza V. Andrei M-L. Andrieux X. S. Anduaga A. Angerami F. Anghinolfi N. Anjos A. Annovi A. Antonaki M. Antonelli A. Antonov J. Antos F. Anulli S. Aoun L. Aperio Bella R. Apolle G. Arabidze I. Aracena Y. Arai A. T. H. Arce J. P. Archambault S. Arfaoui J-F. Arguin E. Arik M. Arik A. J. Armbruster O. Arnaez C. Arnault A. Artamonov G. Artoni D. Arutinov S. Asai R. Asfandiyarov S. Ask B. Åsman L. Asquith K. Assamagan A. Astbury A. Astvatsatourov G. Atoian B. Aubert E. Auge K. Augsten M. Aurousseau N. Austin G. Avolio R. Avramidou D. Axen C. Ay G. Azuelos Y. Azuma M. A. Baak G. Baccaglioni C. Bacci A. M. Bach H. Bachacou K. Bachas G. Bachy M. Backes M. Backhaus E. Badescu P. Bagnaia S. Bahinipati Y. Bai D. C. Bailey T. Bain J. T. Baines O. K. Baker M. D. Baker S. Baker E. Banas P. Banerjee Sw. Banerjee D. Banfi A. Bangert V. Bansal H. S. Bansil L. Barak S. P. Baranov A. Barashkou A. Barbaro Galtieri T. Barber E. L. Barberio D. Barberis M. Barbero D. Y. Bardin T. Barillari M. Barisonzi T. Barklow N. Barlow B. M. Barnett R. M. Barnett A. Baroncelli G. Barone A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa P. Barrillon R. Bartoldus A. E. Barton D. Bartsch V. Bartsch R. L. Bates L. Batkova J. R. Batley A. Battaglia M. Ba Fakultät für Mathematik und Physik Albert-Ludwigs-Universität Freiburg i. Br. Germany Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA Institut de Física d’Altes Energies and Departament de Física de la Universitat Autònoma de Barcelona and ICREA Barcelona Spain Section de Physique Université de Genève Geneva Switzerland Department of Physics Oxford University Oxford United Kingdom Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan Department of Physics Oklahoma State University Stillwater Oklahoma USA Department of Physics and Astronomy Michigan State University East Lansing Michigan USA Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel LAL Univ. Paris-Sud and CNRS/IN2P3 Orsay France INFN Sezione di Milano Italy Dipartimento di Fisica Università di Milano Milano Italy INFN Gruppo Collegato di Udine Italy ICTP Trieste Italy Physics Department Brookhaven National Laboratory Upton New York USA Department of Physics Hampton University Hampton Virginia USA Department of Physics Yale University New Haven Connecticut USA Max-Planck-Institut für Physik (Werner-Heisenberg-Institut) München Germany Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Department of Physics Queen Mary University of London London United Kingdom Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Department of Physics Brandeis University Waltham Massachusetts USA Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Portugal Institut für Physik Universität Mainz Mainz Germany Department of Physics Boston University Boston Massachusetts USA Department of Physics and Astronomy Stony Brook University Stony Brook New York USA Physics Department University of Texas at Dallas Richardson Texas USA INFN Sezione di Roma Tor Vergata Italy Dipartimento di Fisica Università La Sapienza Rom

A search for a heavy standard model Higgs boson decaying via H→ZZ→ℓ+ℓ−νν¯, where ℓ=e, μ, is presented. It is based on proton-proton collision data at s=7 TeV, collected by the ATLAS experiment at the LHC in the first half of 2011 and corresponding to an integrated luminosity of 1.04 fb−1. The data are compared to the expected standard model backgrounds. The data and the background expectations are found to be in agreement and upper limits are placed on the Higgs boson production cross section over the entire mass window considered; in particular, the production of a standard model Higgs boson is excluded in the region 340

关键词： HIGGS bosons RADIOACTIVE decay PROTON-proton interactions STANDARD model (Nuclear physics) NUCLEAR models

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Verification of Markov models of ageing power equipment

Verification of Markov models of ageing power equipment

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10th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2008

作者： Sugier, Jaroslaw Anders, George Inst. of Computer Engineering Control and Robotics Wroclaw University of Technology Poland Dept. of Microelectronics of the Technical University of Lodz Poland

ISBN: (纸本)9781934325216

Markov models are a well established technique widely used for modeling deterioration processes of the electric power equipment and in reliability analysis. Recently, several papers using Markov and semi-Markov models have been published addressing the issue of the calculation of the rlife, future failure rates and the probability of failure of power equipment. This paper focuses on one such model and addresses an issue of accuracy of Markov model analysis. The paper presents a method of model adjustment and discusses implementation of three numerical algorithms solving the problem of parameter approximation. A practical example confirms validity of the approach and illustrates its efficiency.

关键词： Reliability analysis

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