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REFERENCES 1. Levin, N. N., & Serebryakov, A.D. (1976). Electric machines and drives. In Proceedings of RVVKKU (Vol. 3). Riga (in Russian). 2. Santalov, A. M., & Serebryakov, A.D. (1976). On the optimal geometry of the tooth zone of inductor machines. In Proceedings of RKIIGA (Vol. 113, pp. 12–23). Riga (in Russian). 3. Serebryakov, A. D. (1982). Optimal tooth zone of the inductor motor. Contactless electric machines (Vol. 21, pp. 157–162). Riga: Zinatne (in Russian). 4. Alper, N. J. (1962). Calculation of magnetic fields in the air gap of the inductor machine

., Gebhart, V. 2016. Occupational Health and Safety Hazards in Machining , Manufacturing Technology, 16(4), 740-743. Pacana, A., 2020. Comparative occupational risk assessment in a CNC machine tool operator position , Production Engineering Archives 16(16), 28–31. DOI: 10.30657/pea.2017.16.06 PN-EN 60204-1:2010 Safety of machines - Electrical equipment of machines. Part 1: Requirements. PN-EN 954-1: 2001. Machinery. Safety - Safety related components of control systems. Part 1: General design principles https://www.chinskiraport.pl/blog/oznakowanie-ce/ 15/09/2019 PN

References [1] P. Drożyner and P. Mikołajczak. “Maintenance of vehicles, machines and equipment in view of the ISO9001 requirements”. Eksploatacja i Niezawodność - Maintenance and Reliability, no. 4, pp. 55-58, 2007. [2] Y. Gerasimov and A. Sokolov. “Ergonomic Characterization of Harvesting Work in Karelia”. Croatian Journal of Forest Engineering, vol. 30, no. 2, pp. 159-170, 2009. [3] B. Salah, O. Janeh, T. Bruckmann et al. “Improving the Performance of a New Storage and Retrieval Machine Based on a Parallel Manipulator Using FMEA Analysis”, in Proc. of the 15

References Altintas, Y., Brecher, C., Weck, M., Witt, S. 2005. Virtual Machine Tool. Annals of the CIRP, 54(2):651-675. Augste, J., Holub, M., Knoflíček, R., Novotný, T., Vyroubal, J. 2013. Monitoring of energy flows in the production machines. Paper presented at the Mechatronics 2013: Recent Technological and Scientific Advances, 1-7. Bernard, A. and Hasan R. 2002. Working situation model for safety integration during design phase. Annals of the CIRP, 51(1):119-122. Blecha, P., Blecha, R., Bradáč, F. 2011. Integration of risk management into the machinery design

REFERENCES 1. EU institutions. (2009). Environment – European Commission. 2. Harris, A. (2006).ORGALIME guide to the scope of the WEEE and RoHS directives. Bruxelles. 3. International Energy Agency. (2016). World Energy Outlook 2016. Available at https://www.iea.org/newsroom/news/2016/november/world-energy-outlook-2016.html 4. Waide, P., & Brunner, C. U. (2011). Energy-efficiency policy opportunities for electric motor-driven systems. Energy Efficiency Series. 5. IEC 60034-30-1:2014. (2014). Rotating electrical machines – Part 30-1: Efficiency classes of line

REFERENCES [1] M. Brzeziński, Organization and control of production. Design of production systems, production control processes . Warszawa: Placet, 2002. [2] W.M. Grudziński and I.K. Hajduk, Methods of design of management systems . Warszawa: Difin, 2004. [3] K. Antosz and D. Stadnicka, „Evaluation measures of machine operation effectiveness in large enterprises: study results”, Eksploatacja i Niezawodność – Maintenance and Reliability , vol. 17, no. 1, pp. 107-117, 2015. [4] M. Konstanciak and A. Konstanciak, „Evaluation of Technological Efficiency of

R eferences [1] CHAU, K. T.—ZHANG, D.—JIANG, J. Z.—LIU, C.—ZHANG, Y. : Design of a Magnetic-Geared Outer Rotor Permanent Magnet Brushless Motor for Electric Vehicles, IEEE Trans. Magn. 43 No. 6, (June 2007), 2504–2506. [2] HUA, W.—CHENG, M.—ZHANG, G. : A Novel Hybrid Excitation Flux Switching Motor for Hybrid Vehicles, IEEE Trans. Magn., 45 No. 10 (Oct 2009), 4728–4731. [3] ZHU, Z. Q.—HOWE, D. : Electrical Machines and Drives for Electric, Hybrid, Fuel Cell Vehicles, Proc. of IEEE 95 No. 4 (Apr 2007), 746–765. [4] JAHNS, T. M.—KLIMAN, G. B.—EEUMANN, T

R eferences [1] Acko, B. (2007). Calibration of measuring instruments on a coordinate measuring machine. Advances in Production Engineering and Management, 2 (4), 127-34. [2] Larue, J.-F., Brown, D., Viala, M. (2015). How optical CMMs and 3D scanning will revolutionize the 3D metrology world. In Integrated Imaging and Vision Techniques for Industrial Inspection . Springer, 141-176. [3] Zhang, K., Zhang, Q., Lin, C.-D., Fan, K.-C. (2015). A visual non-contact focusing probe for the measurement of micro cavities. International Journal of Nanomanufacturing , 11

Electromechanical Battery, Electrical Machines Mass Functions Analysis

In this paper different types of electrical machines in electromechanical battery, were described. The most known manufactured battery data is composed. Three types of machines: synchronous machine with salient poles and electromagnetic excitation, with permanent magnets on rotor and reluctance synchronous machine were analyzed. For all types of machines, mass is function of general geometrical size of magnetic system and machines electrical power.

. 17, issue 13. pp. 93-100. DOI: doi.org/10.5593/sgem2017/13. Stecuła, K., Brodny, J. and Palka, D. (2017a). Analysis of reasons for unplanned stoppages of ma-chines in the example of the longwall shearer. CBU International Conference Proceedings 2017: Innovations in Science and Education, Vol. 5, Prague 2017, p. 1210-1214. DOI: 10.12955/cbup.v5.1098 Stecuła, K., Brodny, J. and Tutak, M. (2018). Use of intelligent informatics module for registration and assessment of causes of breaks in selected mining machines. Intelligent Systems in Production Engineering and