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Vol: 57(71) No: 2 / June 2012 Forming Maintenance Strategy for Mechatronic Systems Attila L. Bencsik Institute of Mechatronics and Vehicle Engineering, Óbuda University, Faculty of Mechanical and Safety Engineering, Pf.:31, 1428 Budapest, Hungary, phone: +36-1-666-5300, e-mail: bencsik.attila@bgk.uni-obuda.hu, web: http://www.uni-obuda.hu József Gáti Rector\'s Office, Óbuda University, Bécsi út 96/b, 1034 Budapest, Hungary, phone: +36-1/666-5603, e-mail: gati@uni-obuda.hu, web: http://www.uni-obuda.hu Gyula Kártyás General Directors Office, Óbuda University, 1034 Budapest, Doberdó út 8, Hungary, phone: +36-1/666-5425, e-mail: kartyas.gyulai@uni-obuda.hu, web: http://www.uni-obuda.hu Keywords: maintenance, diagnostic, reliability, monitoring, mechatronics Abstract Nowadays the significance of predictive maintenance increasing continuously in every area of life. By spread of quality policy thinking, in the last third of the 20th century, newer trends of maintenance came to the foreground. Maintenance costs can only be reduced by the application of advanced diagnostic methods. RCM (Reliability Centered Maintenance) and TPM (Total Productive Maintenance) must be referred among them. The status monitoring system is a computer-controlled checking system that stores and processes the measurement results. It indicates expectable failure of the mechatronic systems. Data service of the system can be used for making other error analyses, maintenance plans, too. The system – based on careful examinations – provides proper information for designing. Thus, by observing expectable failures, the capacity required for repair, assortment and quantity of parts can be planned. Costs of maintenance can be easily monitored; organisation of optimal stock does not represent any problem. Using a maintenance system that depends on the status, organisation of repairs can be increased, more modern repair systems can be introduced (e.g. repair with main part). As a result of regular examinations, number of unexpected failures and overhauls can be reduced, and cycle time between overhauls can be increased. This paper investigates the theoretical and practical issues of the application modern trends of maintenance for mechatronic systems. References [1] J. F. Engelberger, Industrie Roboter in der praktischen Anwendung, Kari Hauser Verlag, München, Wien, 1981. [2] J. Jablonkai, “Automatika berendezések karbantartása I – II”, Automatizálás, no. 9, pp. 39-47, 1980, no. 1-2, .pp .28-39, 1981. [3] A. Bencsik, Ipari robotok biztonságos üzemeltetését növelő hatékony módszerek GTE III, Ipari Robot Szeminárium, Győr, 1984. [4] K. Sólyomvári, J. Z. Szabó and F. Dömötör, “Balancing of high speed rotating machinery with the influence coefficient method”, Proceedings of 3rd International Conference on Acoustical and Vibratory Surveillance Method and Diagnostic Techniques, Senlis, France, 1998, pp. 1-6. [5] C. Scheffer and P. Girdhar, Practical Machinery Vibration Analisis & Predictive Maintenance, Verlag:NeWnes, pp. 1-5, 2004. [6] L. Horváth and I. J. Rudas, “Knowledge Technology for Product Modeling”, Chapter 5 of the book Knowledge in Context – Few Faces of the Knowledge Society, Walters Kluwer, 2010, pp. 113-137. [7] http://www.fitt.ifua.hu/?levelid=3&cikkid=11. [8] J. Z. Szabó, “Elektromos szervo hajtások diagnosztikai vizsgálata”, Proceedings of OKAMBIK 2007 Conference, Pécskonferencia [9] J. Z. Szabó, “Vibration Diagnostics and Research into Military Technological Applications”, PhD Dissertation, Miklós Zrínyi National Defense University Bolyai János Technical Military Faculty, Technical Military PhD Council 2010, Budapest, Hungary, 2010. [10] A. L. Bencsik, “The diagnostic examination of mechatronic systems”, Proceedings of International Conference on Mechanical Engineering (OGÉT 2012), Cluj-Naoca, Romania, 2012, pp. 1-6. [11] A. L. Bencsik, J. Gáti and G. Kártyás, “Maintenance of Complex Automated Systems”, Proceedings of IEEE 7th International Symposium on Applied Computational Intelligence and Informatics (SACI 2012), Timisoara, Romania, 2012, pp. 223-227. [12] A. L. Bencsik, “Twin Diagnostic Method for Industrial Robot Maintenance”, Proceedings of IEEE 16th International Conference on Intelligent Engineering Systems (INES 2012), Costa de Caparica, Lisbon, Portugal, 2012, pp. 87-89. |