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Investigated Methods of Improving the Efficiency of Diagnosing Microprocessor Devices of Data Transmission Systems Based on Multi-Channel Signature Analysis

Received: 5 February 2019     Accepted: 12 March 2019     Published: 13 April 2019
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Abstract

The article deals with tasks related to monitoring and diagnostics of microprocessor devices of data transmission systems. We have completed the life cycle of the technical means of data transmission systems and the ways of their enhanced reliability. The analysis of tasks and classification of systems of technical diagnostics of microprocessor devices of data transmission systems is carried out. The analysis of modern microprocessor devices of data transmission systems as an object of control and diagnostics necessary for the choice of characteristics of signature analysis methods is made, that the main documents of signature analysis are dictionaries of the reference signatures. Methods of calculation and determination of signatures for signature analysis in the diagnosis of microprocessor devices are considered. It is shown that the main document of signature analysis is the dictionary of reference signatures. A comparative analysis of the methods of calculation and determination of reference signatures used in the diagnosis of microprocessor devices has been performed. Algarymms and simulation programs for one and multi-channel signature methods for automating the determination of reference signatures for multi-output microprocessor devices have been developed.

Published in Communications (Volume 7, Issue 1)
DOI 10.11648/j.com.20190701.13
Page(s) 13-24
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Microprocessor Devices (MPD), Life Cycle, Signature Analysis (SА), Signatura, Single-channel Signature Analysis (SSА), Multichannel Signature Analysis (МSА)

References
[1] AR Bestugin, AF Bogdanova, GV Stogov. Monitoring and Diagnostics of Telecommunication Networks - SPb: Politechnica, 2003. 174 p.: silt.
[2] Aripov MN, Prisyazhnyuk SP, Sharifov RA Control and management in data networks with packet switching. Tashkent.: Fan, 1988. – 160p.
[3] Aripov M. N. Juraev R. Kh., Jabbarov S. Yu. Technical diagnostics of digital systems. Training Manual Tashkent 2006, p.82.
[4] Abramovici M, Breuer M. A, Friedman A. D. Digital Systems Testing and Testable Design. IEEE Press, Piscataway, New Jersey, 1994.
[5] Zainalabedin Navabi, Digital System Test and Testable Design: Using HDL Models and Architectures, Springer, 2010.
[6] Moslem Amiri, Vaclav Prenosil. Digital Systems Testing. Verilog HDL for Design. a Embedded Systems Laboratory. Faculty of Informatics, Masaryk University. Brno, Czech Republic. 2014.
[7] N. K. Jha and S. Gupta. Testing of Digital Systems. Cambridge University Press 2003.
[8] Davydov P. S. Technical diagnostics of radio electronic devices and systems. -M.: Radio and communication, 1988. - 256s.
[9] Microprocessors: Programming and debugging systems / VA Myasnikov, MB Ignatiev, AA Kochkin, Yu. E. Sheinin / Under red.VA Myasnikova and MB Ignatieva. -M.: Energoatomizdat, 1985. -272p.
[10] Khakhanov V. I. Technical diagnostics of digital microprocessor devices. Textbook. K.: IZMN, 1995. - 252p.
[11] Lvovich G. A., Samoshchenko A. V., Khavkin V. E. Diagnostics of microprocessor systems, - Reviews of electronic equipment. Ser.3. Microelectronics, issue 7. - Moscow: TsNII Electronics, 1987. - 84s.
[12] Williams GB Debugging of microprocessor systems: Trans. with English.- M.: Energoatomizdat, 1988.-253p.
[13] Ferguson J, Makari L, Williams P. Servicing of microprocessor systems: Trans. with the English.- M.: Mir, 1989. - 336s.
[14] Djeykoks Dj. Guide to troubleshooting electronic equipment. Translation from English. - Moscow: Mir, 1989. - 176s.
[15] Kazmina S. K. Compact testing // Automation and telemechanics, 1982, N3, p.173-187.
[16] Gulyaev V. A., Kudryashov V. I. Automation of adjustment and diagnostics of microUK.-M.: Energoatomizdat, 1992.-256s.
[17] Gordon G., Nadig H. Localization of malfunctions in microprocessor systems with hexadecimal key codes. // Electronics.1977, N5, p.93-97.
[18] Djabbarov Sh. Yu., Djuraev R. X., Baltaev J. B. CONFERENCE PROCEEDINGS MITA 2015. June 30-July 2, 2015, Tashkent, Uzbekistan. "Simulation of the multi-channel signaling method for diagnosis in multimedia terminal devices". 139-142.
[19] Juraev R. Kh., Jabbarov S. Yu., Yangaliev F. Sh., Program for modeling the signature method of diagnostics of digital devices. // No. DGU 01244, 26.03.2007.
[20] Juraev R. Kh., Jabbarov S. Yu., Baltayev JB, Program of modeling of four-channel, eight-channel and sixteen-channel signature method of diagnostics of digital devices. // No. DGU 04122, No. DGU 04123, No. DGU 04124 08.11.2016.
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  • APA Style

    Rustam Хusanovich Djuraev, Jo’shqin Boltabaevich Baltaev. (2019). Investigated Methods of Improving the Efficiency of Diagnosing Microprocessor Devices of Data Transmission Systems Based on Multi-Channel Signature Analysis. Communications, 7(1), 13-24. https://doi.org/10.11648/j.com.20190701.13

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    ACS Style

    Rustam Хusanovich Djuraev; Jo’shqin Boltabaevich Baltaev. Investigated Methods of Improving the Efficiency of Diagnosing Microprocessor Devices of Data Transmission Systems Based on Multi-Channel Signature Analysis. Communications. 2019, 7(1), 13-24. doi: 10.11648/j.com.20190701.13

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    AMA Style

    Rustam Хusanovich Djuraev, Jo’shqin Boltabaevich Baltaev. Investigated Methods of Improving the Efficiency of Diagnosing Microprocessor Devices of Data Transmission Systems Based on Multi-Channel Signature Analysis. Communications. 2019;7(1):13-24. doi: 10.11648/j.com.20190701.13

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  • @article{10.11648/j.com.20190701.13,
      author = {Rustam Хusanovich Djuraev and Jo’shqin Boltabaevich Baltaev},
      title = {Investigated Methods of Improving the Efficiency of Diagnosing Microprocessor Devices of Data Transmission Systems Based on Multi-Channel Signature Analysis},
      journal = {Communications},
      volume = {7},
      number = {1},
      pages = {13-24},
      doi = {10.11648/j.com.20190701.13},
      url = {https://doi.org/10.11648/j.com.20190701.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.com.20190701.13},
      abstract = {The article deals with tasks related to monitoring and diagnostics of microprocessor devices of data transmission systems. We have completed the life cycle of the technical means of data transmission systems and the ways of their enhanced reliability. The analysis of tasks and classification of systems of technical diagnostics of microprocessor devices of data transmission systems is carried out. The analysis of modern microprocessor devices of data transmission systems as an object of control and diagnostics necessary for the choice of characteristics of signature analysis methods is made, that the main documents of signature analysis are dictionaries of the reference signatures. Methods of calculation and determination of signatures for signature analysis in the diagnosis of microprocessor devices are considered. It is shown that the main document of signature analysis is the dictionary of reference signatures. A comparative analysis of the methods of calculation and determination of reference signatures used in the diagnosis of microprocessor devices has been performed. Algarymms and simulation programs for one and multi-channel signature methods for automating the determination of reference signatures for multi-output microprocessor devices have been developed.},
     year = {2019}
    }
    

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    AU  - Rustam Хusanovich Djuraev
    AU  - Jo’shqin Boltabaevich Baltaev
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    N1  - https://doi.org/10.11648/j.com.20190701.13
    DO  - 10.11648/j.com.20190701.13
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    UR  - https://doi.org/10.11648/j.com.20190701.13
    AB  - The article deals with tasks related to monitoring and diagnostics of microprocessor devices of data transmission systems. We have completed the life cycle of the technical means of data transmission systems and the ways of their enhanced reliability. The analysis of tasks and classification of systems of technical diagnostics of microprocessor devices of data transmission systems is carried out. The analysis of modern microprocessor devices of data transmission systems as an object of control and diagnostics necessary for the choice of characteristics of signature analysis methods is made, that the main documents of signature analysis are dictionaries of the reference signatures. Methods of calculation and determination of signatures for signature analysis in the diagnosis of microprocessor devices are considered. It is shown that the main document of signature analysis is the dictionary of reference signatures. A comparative analysis of the methods of calculation and determination of reference signatures used in the diagnosis of microprocessor devices has been performed. Algarymms and simulation programs for one and multi-channel signature methods for automating the determination of reference signatures for multi-output microprocessor devices have been developed.
    VL  - 7
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Author Information
  • Department of Data Communication Networks and System, Telecommunication Faculty, Tashkent University of Information Technologies Named After Muhammad al-Khwarizmi, Tashkent, Uzbekistan

  • Department of Data Communication Networks and System, Telecommunication Faculty, Tashkent University of Information Technologies Named After Muhammad al-Khwarizmi, Tashkent, Uzbekistan

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