OPTIMIZATION OF PREVENTIVE THRESHOLD FOR CONDITIONBASED MAINTENANCE OF RADIO ELECTRONIC EQUIPMENT
Keywords:efficiency indicator, condition-based maintenance, statistical data processing, operation system, radioelectronic equipment.
Context. Operation costs throughout the life cycle of radio electronic equipment are very significant, which value far exceeds the initial cost of the equipment. Therefore, the up-to-date scientific and technical problem is to minimize operation costs. One of the ways to solve this problem is the introduction of statistical data processing technologies in the operation systems of radio electronic equipment.
Objective. The goal of the paper is to improve the efficiency of thecondition-based maintenance with the determining parameters monitoring, which is widely used in civil aviation.
Method. The solution of this problem is based on finding the functional dependence of the efficiency indicator in the form of specific operation costs on the basic parameters of radio electronic equipment and its operation system. To determine this dependence, the probability-event model is used,as well as methods of probability theory and mathematical statistics, in particular methods of statistical classification of sample sets and functional transformations of random variables. To determine the optimal level of the preventive threshold by the criterion of minimizing operation costs, the method of statistical simulation of Monte-Carlo is used.
Results. Maintenance strategy with the determining parameters monitoring based on additional statistical data processing and technology of the optimal preventive threshold calculation are improved.
Conclusions. The obtained results can be used during the development and modernization of operation systems of radio electronic equipment in terms of application of statistical data processing procedures. A comparative analysis of the two maintenance strategies showed that the use of additional statistical data processing might reduce specific operation costs. The proposed technology for determining the optimal preventive threshold can be extended to use during the operation of complex technical systems, in particular for those whose technical condition is associated with the values of the determining parameters.
Zhukov I.A. Implementation of integral telecommunication environment for harmonized air traffic control with scalable flight display systems, Aviation, 2010, Vol. 14, No. 3, pp. 117–122.
Zaliskyi M., Petrova Yu., Asanov M., Bekirov E. Statistical data processing during wind generators operation, International Journal of Electrical and Electronic Engineering & Telecommunications, 2019, Vol. 8, No. 1, pp. 33–38. DOI:10.18178/ijeetc.8.1.33-38
Solomentsev O., Zaliskyi M., Herasymenko T., Kozhokhina O., Petrova Yu. Data Processing in Case of Radio Equipment Reliability Parameters Monitoring, Advances in Wireless and Optical Communications (RTUWO 2018). Latvia, 15–16 November, 2018: proceedings. Riga, 2018, pp. 219–222.
Gertsbakh I. Reliability theory: with applications to preventive maintenance. New York, Springer, 2005, 219 p.
Zaliskyi M., Solomentsev O. Method of sequential estimation of statistical distribution parameters, IEEE 3rd International Conference Methods and Systems of Navigation and Motion Control (MSNMC),Ukraine, 14–17 October, 2014: proceedings. Kyiv, 2014, pp. 135–138.
Prokopenko I. G., Migel S. V., Prokopenko K. I. Signal modeling for the efficient target detection tasks, International Radar Symposium, Germany, 19–21 June, 2013: proceedings. Dresden, 2013, pp. 976–982.
Kharchenko V. P., Kuzmenko N. S., Ostroumov I. V. Identification of unmanned aerial vehicle flight situation, IEEE 4th International Conference on Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD), Ukraine, October, 2017: proceedings. Kyiv, 2017, pp. 116– 120.
Kuzmenko N. S., Ostroumov I. V., Marais K.An accuracy and availability estimation of aircraft positioning by navigational aids, IEEE International Conference on Methods and Systems of Navigation and Motion Control (MSNMC), Ukraine, 16–18 October, 2018: proceedings. Kyiv, 2018, pp. 36–40.
Jardine A. K. S., Tsang A. H. C. Maintenance, replacement, and reliability: theory and applications, Second edition. BocaRaton, CRC Press, 2017, 364 p.
Natsional’na transportna stratehiya Ukrayiny na period do 2030 roku [Electronic resource]. Access mode: https://zakon.rada.gov.ua/laws/show/430-2018-р.
Grall A., Dieulle L., Bérenguer C., Roussignol M. Continuous-time predictive-maintenance scheduling for a deteriorating system, IEEE Transactions on reliability, 2002, Vol. 51, No. 2, pp. 141–150. DOI: 10.1109/TR.2002.1011518
Nakagawa T. Maintenance theory of reliability. London, Springer-Verlag, 2005, 270 p.
Galar D., Sandborn P., Kumar U. Maintenance costs and life cycle cost analysis. BocaRaton, CRC Press, 2017, 492 p.
Solomentsev O., Zaliskyi M., Zuiev O. Estimation of quality parameters in the radio flight support operational system, Aviation, 2016, Vol. 20, No. 3, pp. 123–128. DOI: 10.3846/16487788.2016.1227541.
Goncharenko A. Aircraft operation depending upon the uncertainty of maintenance alternatives, Aviation, 2017, Vol. 21, No. 4, pp. 126–131. DOI: 10.3846/16487788.2017.1415227.
Solomentsev O., Zaliskyi M., Herasymenko T., Kozhokhina O., Petrova Yu. Efficiency of Operational Data Processing for Radio Electronic Equipment, Aviation, 2019, Vol. 23, No. 3, pp. 71–77.
Hryshchenko Y. V. Reliability problem of ergatic control systems in aviation, IEEE 4th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC), Ukraine, 18–20 October, 2016: proceedings. Kyiv, 2016, pp. 126–129.
Volianskyi R., Sadovoi O., Volianska N., Sinkevych O. Construction of Parallel Piecewise-Linear Interval Models for Nonlinear Dynamical Objects, 9th International Conference on Advanced Computer Information Technologies (ACIT), Czech Republic, 5–7 June, 2019:proceedings. Ceske Bidejovice, 2019, pp. 97–100.
Huynh K. T., Grall A., Bérenguer C. A parametric predictive maintenance decision-making framework considering improved system health prognosis precision, IEEE Transactions on Reliability, Institute of Electrical and Electronics Engineers, 2018, Vol. 68, No. 1, pp. 375–396. DOI:10.1109/TR.2018.2829771.
Sun Q., Ye Z.-S., Peng W. Scheduling preventive maintenance considering the saturation effect, IEEE Transactions on reliability, Institute of Electrical and Electronics Engineers, 2019, Vol. 68, No. 2, pp. 741–752. DOI: 10.1109/TR.2018.2874265.
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