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The efficiency of detecting the failures and troubleshooting while applying technical diagnostics for multi-computer systems

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents techniques which base on the concept of flows thinning together with the identification techniques. These methods are proposed to determine the expected number of failures to assess the efficiency of technical diagnostics of instruments. Additionally, this research focuses on the improvement of multi-machine troubleshooting systems, based on the ‘AND-OR’ graphs. Respective algorithms are presented. The majority principle uses the input information to check the correctness of the decision regarding identification of faulty machines. In this paper we base on the complete testing algorithm for elements of multi-computer complexes searching by criteria of failed element.
Rocznik
Strony
87--107
Opis fizyczny
Bibliogr. 18 poz., rys., tab., wykr., wzory
Twórcy
autor
  • Department of Informatics and Computer Software System, National Research University of Electronic Technology (MIET), Zelenograd, Moscow, Russia
autor
  • Department of Informatics and Computer Software System, National Research University of Electronic Technology (MIET), Zelenograd, Moscow, Russia
  • Department of Informatics and Computer Software System, National Research University of Electronic Technology (MIET), Zelenograd, Moscow, Russia
autor
  • Department of Informatics and Computer Software System, National Research University of Electronic Technology (MIET), Zelenograd, Moscow, Russia
autor
  • Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Malaysia
Bibliografia
  • [1] K. Z. Ye, E. S. Kukushkin and O. I. Lisov: Fault finding in the multi-computer computer systems based on the ‘AND-OR’ graph. J. of the Defense Complex - the Scientific and Technical Progress of Russia, Federal State Unitary Enterprise VIMI, 1 (2012), 71-75.
  • [2] K. Z. Ye: Method for determining a single fault with the technical diagnosis of multiple computer systems. Scientific and Practical J. Industry Aspects of Engineering, INGN, 1 (2012), 18-19.
  • [3] K. Z. Ye: Evaluation model of CPU performance of distributed fault-tolerant automation systems. Int. Scientific and Technical Conf. Modern information technology, Penza, (2013), 124-127.
  • [4] D. S. Kazak: The model for the evaluation of fault tolerance of automated control devices and diagnostics. Proc. of the Universities. Electronic., MIET, 1 (2009), 89-92.
  • [5] D. S. Kazak: A mathematical model of CPU performance evaluation of distributed automation systems for process testing. Scientific and Technical J. Engineering and Technology., Moscow, Publishing House of the Company Sputnik, 5(2008), 37-38.
  • [6] D. S. Kazak: The checks performance of automated systems for technological tests in instrument. Scientific and Technical J. Engineering and Technology, Moscow, Publishing House of the Company Sputnik, 5 (2008), 39-40.
  • [7] K. Z. Ye, A.M. Bain: Methods to improve the detection of failures and troubleshooting for technical diagnostics in instrument. Manufacturing Science and Technology, 1(2), (2013), DOI: 10.13189/mst.2013.010202, Horizon research publishing cooperation. USA, http://www.hrpub.org/download/20131107/MST2- 15401707.pdf
  • [8] A. Philippot, P. Marangé, F. Gellot and R. Riera: .Decentralized diagnosis and diagnosability by model checking. Universal J. of Control and Automation, 1 (2013), 28-33, DOI: 10.13189/ujca.2013.010202. http://www.hrpub.org/journals/article info.php?aid=379
  • [9] T. Wójcicki: Supporting the diagnostics and the maintenance of technical devices with augmented reality. Diagnostyka, 15(1), (2014), 43-47.
  • [10] M. Lukasiewicz, T. Kalczynski, M. Liss and T. Kasparowicz: Diagnostics investigations of dmg-1a transmission with operational modal analysis methods application. Diagnostyka, 14(3), (2013), 23-28.
  • [11] I. N. Kovalenko: Asymptotic methods of evaluating the reliability of the complex systems. O Nadezhnosti Slozhnykh Tekhnicheskikh System (On the Reliability of the Complex Technical Systems), Moscow, Sovetskoe Radio, 1966.
  • [12] Y. Genis: On reliability of renewal systems with fast repair. Reliability: Theory and Applications, 1(3), (2006), 31-47.
  • [13] D. S. Kazak: Selection of hardware and software platform for distributed automated information systems. Proc. of the Second All-Russian Inter-University Scientific Conf. on Actual problems of information. The development of information technology infrastructure and systems., MIET, (2008).
  • [14] K. Z. Ye and O. Lisov: Intelligent training complex for learning processes of technical diagnostics in multi-computer computer systems. Drive Higher Education Institutions Chernozem, 1(23), (2011), 73-75.
  • [15] K. Z. Ye, H. A. Kyaw, A. M. Bain, R. A. Kassimov: Technique for improve efficiency intermodal information exchanges in automated control systems in the energy complex. Drive Higher Education Institutions Chernozem, 1(31), (2013), 49-53.
  • [16] Ya.G. Genis: Failure rate of a renewable system with arbitrary distributions of the duration of failure-free operation of its elements. Soviet Journal of Computer and Systems Sciences, 23(5), (1985), 126-131.
  • [17] Ya. G. Genis; On reliability of systems with periodic maintenance under rare failures of its elements. Automation and Remote Control, 71(7), (2010), 1337-1345
  • [18] K. Z. Ye A. M. Bain, R. A. Kassimov and E. A. Hrinchenko: Methodology of cycles during information exchanges and control for distributed energy units. J. Defense Complex – Scientific and Technical Progress of Russia, FSUE ‘VIMI’, 4 (2013), 18- 23.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f2e3683f-7316-430c-8257-e7bf5d94fd69
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