Method for Changepoint Detection With Sample Size Accumulation During Radio Equipment Operation
DOI:
https://doi.org/10.2478/ecce-2020-0004Keywords:
Changepoint, Data processing, Detection, Deterioration, Operation system, Radio equipmentAbstract
The operation system determines the efficiency of the intended use of radio equipment. The operation system includes radio equipment, documentation, operational resources, personnel, processes, data processing algorithms, etc. The operation process is associated with conditions of priori uncertainty of models, parameters, external factors, etc. The main element for monitoring is technical condition of radio equipment. In a general case, this condition can deteriorate. The problems of technical condition deterioration analysis can be considered in terms of changepoint study. The present paper concentrates on the problem of synthesis and analysis of method for changepoint detection during radio equipment operation. The detection algorithm is constructed based on Neyman–Pearson criterion with sample size accumulation. During algorithm synthesis the thresholds were calculated according to Bellman’s approach. The problem of synthesis and analysis was solved by two methods: analytically and using statistical modelling. The efficiency measures for this algorithm are the probability of correct detection and mean time of decision making. The proposed algorithm has advantages in mean time of decision making compared with CUSUM detection method.References
N. S. Kuzmenko, I. V. Ostroumov and K. Marais, “An accuracy and availability estimation of aircraft positioning by navigational aids,” Proceedings IEEE International Conference on Methods and Systems of Navigation and Motion Control (MSNMC 2018), October 16–18, Kyiv, Ukraine, 2018, pp. 36–40. https://doi.org/10.1109/MSNMC.2018.8576276
O. V. Solomentsev, M. Yu. Zaliskyi, O. V. Zuiev and M. M. Asanov, “Data processing in exploitation system of unmanned aerial vehicles radioelectronic equipment,” Proceedings IEEE 2nd International Conference on Actual Problems of Unmanned Air Vehicles Developments (APUAVD), October 15–17, Kyiv, Ukraine, 2013, pp. 77–80. https://doi.org/10.1109/APUAVD.2013.6705288
Y. Hryshchenko, “Reliability problem of ergatic control systems in aviation,” Proceedings IEEE 4th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC), October 18–20, Kyiv, Ukraine, 2016, pp. 126–129. https://doi.org/10.1109/MSNMC.2016.7783123
I. Gertsbakh, Preventive Maintenance with Learning. In Reliability Theory. Springer, Berlin, Heidelberg, 2005, 219 p. https://doi.org/10.1007/978-3-662-04236-6_7
A. V. Goncharenko, “Optimal UAV maintenance periodicity obtained on the multi-optional basis,” Proceedings IEEE 4th International Conference on Actual Problems of UAV Developments (APUAVD), October 17–19, Kyiv, Ukraine, 2017, pp. 65–68. https://doi.org/10.1109/APUAVD.2017.8308778
I. A. Bessmertnyi, Artificial Intellegent. St. Petersburg, ETMO, 2010, 132 p. (in Russian).
I. G. Prokopenko, S. V. Migel and K. I. Prokopenko, “Signal modeling for the efficient target detection tasks,” Proceedings International Radar Symposium, June 19–21, Dresden, Germany, 2013, Vol. II, pp. 976–982.
O. Zuiev, O. Solomentsev and M. Zaliskyi, “Questions of radioelectronic equipment diagnostics programs efficiency analysis,” Proceedings Signal Processing Symposium 2013 (SPS 2013), June 5–7, Jachranka Village, Poland, 2013, pp. 1–3. https://doi.org/10.1109/SPS.2013.6623586
T. Nakagawa, Maintenance Theory of Reliability. London, Springer-Verlag, 2005, 270 p.
B. S. Dhillon, Maintainability, Maintenance, and Reliability for Engineers. New York, Taylor & Francis Group, 2006, 214 p. https://doi.org/10.1201/9781420006780
British Standards Institution, BS EN 13306: Maintenance Terminology, 2001, 31 p.
FAA, Certification Maintenance Requirements. AC No 25-19A, 2011, 15 p.
SAE, Condition-based Maintenance Recommended Practices. SAE standard ARP-6204 (Put onto operation 15.09.2014), 2014, 115 p.
SKYbrary MSG-3 – Maintenance Steering Group, Operator / Manufacturer Scheduled Maintenance Development. [Accessed September 19, 2016] http://www.skybrary.aero/index.php/MSG-3.
DAU, Condition-based Maintenance Plus for Material Maintenance. Departament of Defense Instruction 4151.22 (Put onto operation 16.10.2012), USA, 2012, 8 p.
U.S. Army, Aeronautical Design Standart Handbook. Condition-based Maintenance System for US Army Aircraft: ADS-79D-HDBK (Put onto operation 07.03.2013), Huntsville, USA, 2013, 284 p.
D. Galar, P. Sandborn and U. Kumar, Maintenance Costs and Life Cycle Cost Analysis. Boca Raton, CRC Press, 2017, 492 p. https://doi.org/10.1201/9781315154183
O. Solomentsev, M. Zaliskyi, Yu. Nemyrovets and M. Asanov, “Signal processing in case of radio equipment technical state deterioration,” Proceedings Signal Processing Symposium 2015 (SPS 2015), June 10–12, Debe, Poland, 2015, pp. 1–5. https://doi.org/10.1109/SPS.2015.7168312
D. C. Montgomery and G. C. Runger, Applied Statistics and Probability for Engineers, Fours Edition. NJ, John Wiley & Sons, 2007, 768 p.
A. A. Zhyhlyavskyi and A. E. Kraskovskyi, Changepoint Detection of Random Processes in Problems of Radio Engineering. St. Petersburg, LU Publishing, 1988, 224 p. (in Russian).
O. Solomentsev, M. Zaliskyi, T. Herasymenko, O. Kozhokhina and Yu. Petrova, “Data processing in case of radio equipment reliability parameters monitoring,” Proceedings IEEE International Conference on Advances in Wireless and Optical Communications (RTUWO 2018), November 15–16, Riga, Latvia, 2018, pp. 219–222. https://doi.org/10.1109/RTUWO.2018.8587882
M. Zaliskyi, O. Solomentsev, O. Kozhokhina and T. Herasymenko, “Reliability parameters estimation for radioelectronic equipment in case of change-point,” Proceedings Signal Processing Symposium (SPSympo 2017), September 12–14, Jachranka Village, Poland, 2017, pp. 1–4. https://doi.org/10.1109/SPS.2017.8053676
M. Zaliskyi and O. Solomentsev, “Method of sequential estimation of statistical distribution parameters,” Proceedings IEEE 3rd International Conference on Methods and Systems of Navigation and Motion Control (MSNMC), October 14–17, Kyiv, Ukraine, 2014, pp. 135–138.
R. Bellman, Dynamic Programming. NY, Dover Publications, 2003, 384 p.
Downloads
Published
Issue
Section
License
Copyright (c) 2020 Oleksandr Solomentsev et al., published by Sciendo
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.