Technical Condition Monitoring for Telecommunication and Radioelectronic Systems with Redundancy
DOI:
https://doi.org/10.2478/ecce-2022-0008Keywords:
Detection algorithms, deterioration of technical condition, operation systems, reliability increase, statistical data processing, telecommunication and radioelectronic systemsAbstract
The telecommunication and radioelectronic systems with redundancy are widely used in different branches of human activity. To provide the necessary reliability level of equipment, the operation system is utilized. That system contains intended use, maintenance, repair, technical condition monitoring, and others. The damages, faults and failures are usually observed during the lifecycle of telecommunication and radioelectronic systems. They can lead to deterioration of equipment technical condition. The deterioration of technical condition can be detected during observation of diagnostic variable and reliability parameter. This article concentrates on the synthesis and analysis of statistical data processing procedure for deterioration detection while operating telecommunication and radioelectronic systems with redundancy. For the purpose of reliability estimation based on different redundancy methods, statistical data processing procedure synthesis was carried out using multiple hypothesis testing and detection criterion. The analysis problem was solved using Monte- Carlo simulation method, which allowed constructing operating characteristics. The obtained results can be used in the process of design and improvement of operation systems for telecommunication and radioelectronic equipment.References
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T. Nakagawa, Maintenance Theory of Reliability. London, Springer- Verlag, 2005.
M. Rausand, System Reliability Theory: Models, Statistical Methods and Applications. New York, John Wiley & Sons, Inc., 2004.
R. E. Barlow and F. Proschan, Mathematical Theory of Reliability. New York, John Wiley and Sons, 1965.
B. S. Dhillon, Maintainability, Maintenance, and Reliability for Engineers. New York, Taylor & Francis Group, 2006. https://doi.org/10.1201/9781420006780
K. C. Kapur and L. R. Lamberson, Reliability in Engineering Design. New York, Wiley, 1977.
A. Goncharenko, “Aircraft operation depending upon the uncertainty of maintenance alternatives,” Aviation, vol. 21, no. 4, pp. 126–131, 2017. https://doi.org/10.3846/16487788.2017.1415227
A. Raza and V. Ulansky, “Optimal thresholds for stochastically deteriorating systems,” in Proceedings World Congress on Engineering and Computer Science (WCECS 2015), San Francisco, USA, Oct. 2015, pp. 934–939.
M. Zaliskyi, O. Solomentsev, O. Zuiev, M. Pavlenko, I. Zakharchenko, and Yu. Petrova, “Data processing for analysis of deteriorating radio system with redundancy,” in Proceedings IEEE Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW 2021), Riga, Latvia, Oct. 2021, pp. 275–279. https://doi.org/10.1109/MTTW53539.2021.9607299
D. Galar, P. Sandborn, and U. Kumar, Maintenance Costs and Life Cycle Cost Analysis. Boca Raton, CRC Press, 2017. https://doi.org/10.1201/9781315154183
H. Ren, X. Chen, and Y. Chen, Reliability Based Aircraft Maintenance Optimization and Applications. Academic Press, 2017.
A. V. Goncharenko, “Optimal UAV maintenance periodicity obtained on the multi-optional basis,” in Proceedings IEEE International Conference on Actual Problems of Unmanned Air Vehicles Developments, Kyiv, Ukraine, Oct. 2017, pp. 65–68. https://doi.org/10.1109/APUAVD.2017.8308778
M. M. Hosseini, “An inspection model with minimal and major maintenance for a system with deterioration and Poisson failures,” IEEE Transactions on Reliability, vol. 49, no. 1, pp. 88–98, Mar. 2000. https://doi.org/10.1109/24.855541
X. Liu, J. Li, K. N. Al-Khalifa, A. S. Hamouda, D. W. Coit, and E.A. Elsayed, “Condition-based maintenance for continuously monitored degrading systems with multiple failure modes,” IIE Transactions. Quality & Reliability Engineering, vol. 45, no. 4, pp. 422–435, Jan. 2013. https://doi.org/10.1080/0740817X.2012.690930
J. Liu, “Maintenance model of aircraft structure based on three-stage degradation process,” Computers and Industrial Engineering, vol. 157, Jul. 2021, Art no. 107335. https://doi.org/10.1016/j.cie.2021.107335
A. N. Shiryaev, Stochastic Disorder Problems. Moscow, Moscow Center for Continuous Mathematical Education, 2016. (in Russian).
I. Prokopenko, “Nonparametric change point detection algorithms in the monitoring data,” in Advances in Computer Science for Engineering and Education IV. ICCSEEA. Lecture Notes on Data Engineering and Communications Technologies, vol. 83, Z. Hu, S. Petoukhov, I. Dychka, and M. He, Eds. Springer, Cham, 2021, pp. 347–360. https://doi.org/10.1007/978-3-030-80472-5_29
V. Hamolia, V. Melnyk, P. Zhezhnych, and A. Shilinh, “Intrusion detection in computer networks using latent space representation and machine learning,” International Journal of Computing, vol. 19, no. 3, pp. 442–448, Sep. 2020. https://doi.org/10.47839/ijc.19.3.1893
Q. Zhang, C. Rendon, V. M. D. Oca, P. D. R. Jeske, and D. M. Marvasti, “A nonparametric CUSUM algorithm for timeslot sequences with applications to network surveillance,” in Proceedings International Symposium on High Assurance Systems Engineering (HASE’07), Plano, USA, Nov. 2007, pp. 435–436. https://doi.org/10.1109/HASE.2007.65
C. Y. Huang and M. R. Lyu, “Estimation and analysis of some generalized multiple change-point software reliability models,” IEEE Transactions on Reliability, vol. 60, no. 2, pp. 498–514, 2011. https://doi.org/10.1109/TR.2011.2134350
O. V. Solomentsev, M. Yu. Zaliskyi, O. V. Zuiev, and M. M. Asanov, “Data processing in exploitation system of unmanned aerial vehicles radioelectronic equipment,” in Proceedings IEEE International Conference on Actual Problems of Unmanned Air Vehicles Developments, Kyiv, Ukraine, Oct. 2013, pp. 77–80. https://doi.org/10.1109/APUAVD.2013.6705288
O. Solomentsev, M. Zaliskyi, T. Herasymenko, O. Kozhokhina, and Yu. Petrova, “Data processing in case of radio equipment reliability parameters monitoring,” in Proceedings IEEE International Conference on Advances in Wireless and Optical Communications (RTUWO 2018), Riga, Latvia, Nov. 2018, pp. 219–222. https://doi.org/10.1109/RTUWO.2018.8587882
O. Solomentsev, M. Zaliskyi, T. Herasymenko, and Y. Petrova, “Method for changepoint detection with sample size accumulation during radio equipment operation,” Electrical, Control and Communication Engineering, vol. 16, no. 1, pp. 23–29, 2020. https://doi.org/10.2478/ecce-2020-0004
O. Solomentsev, M. Zaliskyi, O. Shcherbyna, and O. Kozhokhina, “Sequential procedure of changepoint analysis during operational data processing,” in Proceedings IEEE International Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW 2020), Riga, Latvia, Oct. 2020, pp. 168–171. https://doi.org/10.1109/MTTW51045.2020.9245068
A. G. Taranenko, Ye. I. Gabrousenko, A. G. Holubnychyi, and I. A. Slipukhina, “Estimation of redundant radionavigation system reliability,” in Proceedings IEEE International Conference on Methods and Systems of Navigation and Motion Control, Kyiv, Ukraine, Oct. 2018, pp. 28–31. https://doi.org/10.1109/MSNMC.2018.8576282
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2022-06-01
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Copyright (c) 2022 Maksym Zaliskyi et al., published by Sciendo
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Zaliskyi, M., Solomentsev, O., Zuiev, O., Pavlenko, M., Zakharchenko, I., & Petrova, Y. (2022). Technical Condition Monitoring for Telecommunication and Radioelectronic Systems with Redundancy. Electrical, Control and Communication Engineering, 18(1), 57-65. https://doi.org/10.2478/ecce-2022-0008
