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References [1] Charchalis, A., Conditions of Drive and Diagnostic Measurements During Sea Tests Journal of KONES, Vol. 14, No. 4, Warsaw 2007. [2] Charchalis, A., Diagnostic and measurement system for marine engines’ , Journal of KONES, Vol. 19, No. 1, pp. 35-40, Warsaw 2012. [3] Minkina, W., Rutkowski, P., Wild, W., Podstawy pomiarów termowizyjnych, Metrologia pomiary termowizyjne, PAK 1, pp. 7-10, 2000. [4] Pawletko, R., Polanowski, S., Influence of TDC determination methods on mean indicated pressure errors in marine diesel engines , Journal of KONES

., Mazurek, S., Pokładowe systemy diagnostyczne pojazdów samochodowych, WKiŁ, Warszawa 2007. [8] Prajwowski, K., Osipowicz, T., Hybrid vehicle diagnostics, Journal of KONES Powertrain and Transport, Vol. 24, No. 2, 2017. [9] , access 13.06.2018. [10] , access 15.06.2018.

4. References 1. Charchalis A.: Complex Measurement System for Enhancement of Capability for Marine Engines Diagnostics. Journal of Trans Nav, Gdynia 2013. 2. Charchalis A.: Diagnostics System of Marine Engines and Auxiliary Machinery. Journal of KONBIN 1(21), 2013. 3. Charchalis A.: Diagnostic and measurement system for marine engines. Journal of KONES, Vol. 19, No. 1, 2012. 4. Charchalis A., Szyfelbain M.: New methods of marine power plant diagnostics, Journal of KONES. Vol. 25, No. 1, Warsaw 2018. 5. Dereszewski M., Charchalis A., Polanowski S.: Evaluation of

spol. Odporúčaný postup diagnostiky a liečby kolitídy spôsobenej Clostridium difficile. Via pract 2015; 1: 1-12 12. Peng Z, Ling L, Stratton CW, Li C, Polage C R, Wu B, Tang YW, Emerging Microbes & Infections (2018) 7:15 13. Crobach MJT., Planche T, Eckert C, Barbut F, Terveer EM, Dekkers OM, Wilcox MH, Kuijper EJ, European Society of Clinical Microbiology and Infectious Diseases: update of the diagnostic guidance document for Clostridium difficile infection. Clinical Microbiology and Infection 22 (2016) 63-81. 14. Nomlomo E, Nana T, The impact of diagnostic methods

of Identical Brushless DC Motors under Patterns of State Change, Fuzzy Systems, 2008. FUZZ-IEEE 2008 (IEEE World Congress on Computational Intelligence), pp. 2083-2088. [9] NIKITIN, Yu. : Development of Intellectual Mechanotronic Modules with Diagnostic Functions, Mechatronika 2009, Proceedings of 12th International Conference on Mechatronics, Trenˇcianske Teplice, Slovak Republic, 3-5.6.2009, pp. 133-137. [10] NIKITIN, Yu.-ABRAMOV, I. : Algorithms for Mechatronic Systems Diagnosing, AIM 2010, Proceeding of 5th International Symposium. Advances in Mechatronics, Dec

7. References 1. Barwell F.T., Łożyskowanie. WNT, Warszawa 1984. 2. Białko, M., Podstawowe właściwości sieci neuronowych i hybrydowych systemów ekspertowych. Politechnika Koszalińska, Koszalin 2000. 3. Borowczyk H., Elements of comprehensive diagnostics of complex technical objects Elementy kompleksowej diagnostyki złożonych obiektów technicznych. 2019 (in preparation to print) Warsaw: Air Force Institute of Technology. 4. Borowczyk H., et al., Problemy kompleksowego diagnozowania układu łożyskowania turbinowego silnika śmigłowcowego. 2011, Warszawa Wyd. ITWL. 5

KONBIN, 21(1), pp. 41-50, 2012. [11] Błachnio, J., et al., The attempt to assess the technical condition of a gas turbine blade when information on its operating condition is limited, Journal of KONBIN, 30(1), pp. 75-86, 2014. [12] Błachnio, J., Zabrocka, I., Image of the surface of gas turbine blade as a diagnostic signal, Acta Mechanica et Automatica, 7(4), pp. 209-214, 2013. [13] Borowczyk, H., Expert system for supporting the diagnostic inference, Problems of comprehensive diagnosing the bearings of the helicopter’s turbine engine , Borowczyk, H., Editor, Air

Reference B ánlaki P., M agosi Z. 2010. Part failure diagnosis for internal combustion engine using noise and vibration analysis . Periodica Polytechnica, Transportation Engineering, 38/1, 53-60. K rynke M. 2015. The dynamic state monitoring of bearings system . Production Engineering Archives, Vol. 6, No 1, 35-38. L akatos I. 2013. Elaboration of a new method for developing a diagnostic procedure for motor vehicles based on a model . Periodica Polytechnica, Transportation Engineering, 41/1, 57-64. M árialigeti J. 1995. Computer Simulation Study of the

. Wells PS, Anderson DR, Bormanis J et al. Application of a diagnostic clinical model for the management of hospitalized patients with suspected deep-vein thrombosis. Thromb. Haemost. 1999; 81: 493-497. 14. Wells PS, Hirsh J, Anderson DR. Accuracy of clinical assessment of deep-vein thrombosis. Lancet. 1995; 345: 1326-1330. 15. Sagripanti A, Carpi A. Natural anticoagulants, aging, and thromboembolism. Exp Gerontol. 1998;33:891-896. 16. Barbar S, Noventa F, Rossetto V. A risk assessment model for the identification of hospitalized medical patients at risk for venous

References 1. Barkov, A.V., Barkova, N.A., Nizovtsev, A.Y. (2000) Vibration-based monitoring and diagnostics of rotary machines: St. Petersburg: St. Petersburg MTU. 159 p. 2. Barkova, N.A. (2010) Optimization of HF vibration-based roller bearings diagnosing methods, from 3. Measurements and tests. (1981) In: V.N. Chelomey et al. (Eds.), Vibration in Engineering: Reference book, in 6 volumes. М.: Machine-building industry, 1981. 496 p.