SVĚTOVÝ, EVROPSKÝ A ČESKÝ AUTOMOBILOVÝ PRŮMYSL A TRH S AUTOMOBILY :: Šaroch a kol.

Luo, J.; Namburu, M.; Pattipati, K.; Qiauio, L . : Model-based prognostic techniques . Autotestcon 2003, IEEE Systems Readiness Technology Conference, Proceedings, September 2003, pp. 330–340, ISSN 1080-7725, print ISBN 0-7803-7837-7. Luo, J.; Tu, F.; Azama S. M.; Pattipati, K. R.; Willett, P. K.: Intelligent model-based diagnostics for vehicle health management . Proc. of SPIE, September 2003, Vol. 5107, 13, pp. 13–26, ISSN 0277-786X. Maletič, D. Tvorba hodnoty v manažérstve hmotného majetku: Prípadová štúdia. Dostupné: https://www.udrzba.sk/media/kwvgmims/tvorba_hodnoty_v_pam.pdf Montero Jimenez, J.J.; Schwartz, S.; Vingerhoeds, R.; Grabot, B.; Salaün, M. Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics. J Manuf Syst 2020, 56, 539–557, DOI: 10.1016/j. jmsy.2020.07.008. Montero Jimenez, J.J.; Vingerhoeds, R. A System Engineering Approach to Predictive Maintenance Systems: from needs and desires to logical architecture. In Proceedings of the 2019 International Symposium on Systems Engineering (ISSE ); IEEE, 2019; pp. 1–8. Montgomery, N.; Banjevic, D.; Jardine, A.K.S. Minor maintenance actions and their impact on diagnostic and prognostic CBM models. J Intell Manuf 2012, 23, 303–311, DOI: 10.1007/s10845-009-0352-0. Medjaher, K.; Zerhouni, N. Framework for a hybrid prognostics. Chemical Engineering Transactions. 2013, (33), 91–96. Molls, M. Experimentelle und numerische Untersuchung ein- und mehrachsig belasteter Elastomerbuchsen unter besonderer Berücksichtigung des Reihenfolgeneinflusses (Dissertation). Universität Duisburg-Essen, Duisburg-Essen. 2013. Mourtzis, D.; Vlachou, E. A cloud-based cyber-physical system for adaptive shop-floor scheduling and condition-based maintenance. J Manuf Syst 2018, 47, 179–198, DOI: 10.1016/j.jmsy.2018.05.008. Orchard, M.; Kacprzynski, G.; Goebel, K.; Saha, B.; Vachtsevanos, G. Advances in uncertainty representation and management for particle filtering applied to prognostics. In IEEE (Chair), International Conference of Prognostics and Health Management , Denver, CO, USA. 2018. Retrieved from http://ieeexplore.ieee.org/stamp/stamp. jsp?arnumber=4711433 Ran, Y.; Zhou, X.; Lin, P.; Wen, Y.; Deng, R. A Survey of Predictive Maintenance: Systems, Purposes and Approaches. IEEE COMMUNICATIONS SURVEYS & TUTORIALS 2019 , XX. Rosen, R.; Wichert, G. von, Lo, G.; Bettenhausen, K. D. About the Importance of Autonomy and Digital Twins for the Future of Manufacturing. International Federation of Automatic Control – PapersOnLine, 2015. 48(3), 567–572. https://doi.org/10.1016/j. ifacol.2015.06.141 Rosienkiewicz, M. Artificial intelligence-based hybrid forecasting models for manufacturing systems. Eksploatacja i Niezawodnosc – Maintenance and Reliability . 23. 2021. pp. 263–277. 10.17531/ein.2021.2.6.

207

Made with FlippingBook Online newsletter creator