Zhurnal Radioelektroniki - Journal of Radio Electronics. eISSN 1689-1719. 2020. No. 1
Contents

Full text in Russian (pdf)
Russian page

 

DOI 10.30898/1684-1719.2020.1.3
UDC
629.7.052
 

Monitoring of the functional characteristics of long-distance detection radars using continuous distributed computers

 

N. L. Dembitskiy 1, A. S. Logovsky 2, A. V. Timoshenko 2, V. A. Pankratov 2

1 Moscow Aviation Institute (National Research University), Volokolamskoye shosse, 4, Moscow 125993, Russia

2 JSC «A.L. Mints Radiotechnical Institute», 8 Marta st., 10/1, Moscow 127083, Russia

The paper is received on December 16, 2019

Abstract. One of the directions of effective solution of the task of improving the quality of operation of long-range radar stations is continuous monitoring of the stability of parameters of functional radar systems to assess the real technical condition of the product, and, consequently, the parameters of its reliability. The results of monitoring data processing can be used to predict changes in the technical condition parameters, which allow operating the product before the appearance of signs of a dangerous decrease in reliability, while eliminating the premature removal of assemblies and units, as well as other labor-intensive work, which is often of dubious usefulness for the reliability of radar operation. The article suggests the method of evaluating functional characteristics of functional-algorithmic systems of long-range radar stations based on the application of continuum processors, which combine logical and computational capabilities of continuous parametric evaluation of the functional system state. The proposed alternative to the built-in digital control systems provides operational processing of sensor information at all levels of structural and functional division of equipment. The main task of such a system is to redistribute the computational load between computing devices distributed in the design hierarchy, which have much less constructive and functional complexity than digital processors, do not require labor-intensive software development and increase the reliability of functional control systems.

Keywords: functional systems, technical status, continuum processors, embedded control, prediction.

References

1.     Boev S. F., Petrakov A. M., Dembitsky D. N., Kazantsev A. M., Pankratov V. A. Risk assessment event model of early warning radar development. Trudy MAI – Bulletin of Moscow Aviation Institute. 2015. No 80, URL:

http://mai.ru//upload/iblock/26d/26d11f1aefccd271461878ea1a834772.pdf (In Russian)

2.     Davydov N.S. Tekhnicheskaya diagnostika radioelektronnyh ustrojstv i sistem [Technical diagnostics of electronic devices and systems]. Moscow, Radio i Svyaz Publ. 1988. 256 p. (In Russian)

3.     Safonov V.O. Ekspertnye sistemy - intellektual'nye pomoshchniki specialistov [Expert systems - Intellectual specialist helpdesks]. St-Petersburg, Obshchestvo “Znaniye” Publ. 2005. 257 p. (In Russian)

4.     Jackson P. Introduction to Expert Systems. Addison Wesley. 1999.

5.     Vorob'ev A.A., Lagoiko O.S. Information and diagnostic systems for built-in condition monitoring of aircraft. Programmnyye sistemy i vychislitel'nyye metody  –  Software systems and computational methods. 2014. No. 4. P. 437 - 445. DOI: 10.7256/2454-0714.2014.4.13995  (In Russian)

6.     Dembitsky N.L. Analog processors with computing management features.  Aviakosmicheskoye priborostroyeniye  – Aerospace Instrumentation. 2018. No. 6. P. 28-34. (In Russian)

7.     Bratt A., Macbeth I. DPAD2- a Field Programmable Analog Array. Analog Integrated Circuits and Signal Processing. 1998. No.17. P. 67-89.

8.     Decree of the President of the Russian Federation No. 490. URL http://kremlin.ru/acts/bank/44731 (In Russian)

9.     Kozlova T.D., Ignat'ev A.A., Samojlova E.M. Implementation of an expert decision support system for the determination of technological system faults. Vestnik Saratovskogo gosudarstvennogo tekhnicheskogo universiteta – Bulletin of Saratov State Technical University. 2011. No.2. P. 219-224. (In Russian)

10. Koptelova I.A., Silkin I.M. Expert system for diagnostics of power transformers of power supply systems. Izvestiya Volgogradskogo gosudarstvennogo tekhnicheskogo universiteta – Bulletin of Volgograd State Technical University. 2011. Vol. 3. No. 8 (81). P. 104-107. (In Russian)

11.  Mazepa R.B., Kirzhakov V.YU. Practical aspects of using real-time expert systems technology for diagnostics in the design of complex technical systems (in Russian). Informatsionnyye tekhnologii v proyektirovanii i proizvodstve – Information technology in design and production. 2005. No. 2. P. 13-21. (In Russian)

12.  Paliukh, B.V., Kakatunova, T.V., Dli, M.I., Baguzova, O.V. Intellectual decision support system for the complex objects management using the dynamic fuzzy cognitive cards (in Russian). Programmnyye produkty i sistemy – Software products and systems. 2013. No. 4. P. 30. (In Rusian)

13.  Moreno C. J., Espejo E. A performance evaluation of three inference engines as expert systems for failure mode identification in shafts. Engineering Failure Analysis. 2015. Vol. 53. P. 24-35.

14.  Liberado E. V. et al. Novel expert system for defining power quality compensators. Expert Systems with Applications. 2015. Vol. 42. No. 7. P.3562-3570.

15.  Tekhnicheskaya diagnostika. Kontroleprigodnost'. Obshchiye trebovaniya.[Technical diagnostics. Test suitability. General requirements]. GOST 26656-85. Moscow. Standards Publ. 1985. 15 p. (In Russian)

16.  Tekhnicheskaya diagnostika. Terminy i opredeleniya [Technical diagnostics. Terms and definitions]. GOST 20911-89. Moscow. Standards Publ. 1985. 8 p. (In Russian)

 

For citation:

Dembitskiy N.L., Logovsky A.S.,  Timoshenko A.V., Pankratov V.A. Monitoring of the functional characteristics of long-distance detection radars using continuous distributed computers. Zhurnal Radioelektroniki - Journal of Radio Electronics. 2020. No. 1. Available at http://jre.cplire.ru/jre/jan20/3/text.pdf

DOI  10.30898/1684-1719.2020.1.3