References:
1. Vishnevskiy D.A., Sakharov B.A. Improving the reliability of metallurgical equipment through the introduction of Realtime locating systems technologies and Internet of Things. Journal of Advanced Research in Technical Science. 2018. Iss. 12. pp. 74–77. (In Russ.).
2. Vyshnevskyy D., Kasyanov N., Medianyk V. The Ways of Improving Performanceof Industrial Risk and Working Conditions. TEKA. Commission of Motorization and Energetics in Agriculture. 2013. № 4. pp. 280–287.
3. Izvekov Yu.A. Risk analysis of metallurgical production equipment. Approach, concept, analysis. Saarbrucken: LAP Lambert, 2013. 56 p. (In Russ.).
4. Suleymanov M.G., Abdullina L.Sh. Evaluation of personnel reliability for professional personnel selection in metallurgy. Vestnik MGTU im. G.I. Nosova = Vestnik of Nosov MSTU. 2014. № 3. рр. 73–78. (In Russ.).
5. Vishnevskiy D.A., Zhiltsov A.P., Kozachishen V.A., Sakharov B.A. Certificate № 2019616921 The Russian Federation. System for monitoring the psychophysiological state of the metallurgical industry operator by the software. Applied: May 20, 2019. Published: May 30, 2019. (In Russ.).
6. Chuklin D., Okhlupin S., Sharov A., Rybakin A., Deykin M. Strategies and Systems for Ensuring Operational Reliability of the Metallurgical Plant Equipment. Reglament = Regulation. 2015. № 6 (44). рр. 148–150. (In Russ.).
7. Terentev D.V., Platov S.I., Ogarkov N.N., Zhirkin Yu.V., Kerimova L.F. Ways of Increasing the Resource of Friction Units of Machines and Units of Metallurgical Production. Tez. dokl. 76-y mezhdunar. nauch.-tekhn. konf. «Aktualnye problemy sovremennoy nauki, tekhniki i obrazovaniya» (Theses of the seventy-sixth International scientific and technical conference. «Actual problems of the modern science, technology and education»). Magnitogorsk: Izd-vo MGTU im. G.I. Nosova, 2018. 499 р. (In Russ.).
8. Bobrov V.T., Slyadnev A.M. Robotic systems of non-destructive testing and technical diagnostics of industrial objects. Kontrol. Diagnostika = Testing. Diagnostics. 2018. № 2. рр. 16–31. (In Russ.). DOI: 10.14489/td.2018.02.pp.016-031
9. Sidorov V.A., Oshovskaya E.V. Practice of analyzing equipment failures. Metallurgicheskaya i gornorudnaya promyshlennost = Metallurgical and Mining Industry. 2013. № 4 (283). pp. 100–103. (In Russ.).
10. Vasconcelos V., Soares W.A., Marques R.O. Integrated Engineering Approach to Safety, Reliability, Risk Management and Human Factors. Human Factors and Reliability Engineering for Safety and Security in Critical Infrastructures: Decision Making, Theory, and Practice. Springer International Publishing AG, 2018. 258 p. DOI: 10.1007/978-3-319-62319-1_4
11. Nivolianitou Z., Konstandinidou М. A Fuzzy Modeling Application for Human Reliability Analysis in the Process Industry. Human Factors and Reliability Engineering for Safety and Security in Critical Infrastructures: Decision Making, Theory, and Practice. Springer, International Publishing AG, 2018. 258 p. DOI: 10.1007/978-3-319-62319-1_5
12. Olsen N.S. Close Enough is not Good Enough: Improving the Reliability of Accident and Incident Classification Systems in High Hazard Industries. Available at: http://unsworks.unsw.edu.au/fapi/datastream/unsworks:40553/SOURCE02?view=true (accessed: October 30, 2020).
13. Vasilyev V.I., Sulavko A.E., Borisov R.V., Zhumazhanova S.S. Identification of the Psychophysiological State of the User Based on Hidden Monitoring in Computer Systems. Scientific and Technical Information Processing. 2018. Vol. 45. Iss. 6. pp. 398–410. DOI: 10.3103/ S0147688218060096
14. Medvedeva N.A. Psychological Prevention of Industrial Injuries. Bezopasnost Truda v Promyshlennosti = Occupational Safety in Industry. 2021. № 1. pp. 73–78. (In Russ.). DOI: 10.24000/0409-2961-2021-1-73-78
2. Vyshnevskyy D., Kasyanov N., Medianyk V. The Ways of Improving Performanceof Industrial Risk and Working Conditions. TEKA. Commission of Motorization and Energetics in Agriculture. 2013. № 4. pp. 280–287.
3. Izvekov Yu.A. Risk analysis of metallurgical production equipment. Approach, concept, analysis. Saarbrucken: LAP Lambert, 2013. 56 p. (In Russ.).
4. Suleymanov M.G., Abdullina L.Sh. Evaluation of personnel reliability for professional personnel selection in metallurgy. Vestnik MGTU im. G.I. Nosova = Vestnik of Nosov MSTU. 2014. № 3. рр. 73–78. (In Russ.).
5. Vishnevskiy D.A., Zhiltsov A.P., Kozachishen V.A., Sakharov B.A. Certificate № 2019616921 The Russian Federation. System for monitoring the psychophysiological state of the metallurgical industry operator by the software. Applied: May 20, 2019. Published: May 30, 2019. (In Russ.).
6. Chuklin D., Okhlupin S., Sharov A., Rybakin A., Deykin M. Strategies and Systems for Ensuring Operational Reliability of the Metallurgical Plant Equipment. Reglament = Regulation. 2015. № 6 (44). рр. 148–150. (In Russ.).
7. Terentev D.V., Platov S.I., Ogarkov N.N., Zhirkin Yu.V., Kerimova L.F. Ways of Increasing the Resource of Friction Units of Machines and Units of Metallurgical Production. Tez. dokl. 76-y mezhdunar. nauch.-tekhn. konf. «Aktualnye problemy sovremennoy nauki, tekhniki i obrazovaniya» (Theses of the seventy-sixth International scientific and technical conference. «Actual problems of the modern science, technology and education»). Magnitogorsk: Izd-vo MGTU im. G.I. Nosova, 2018. 499 р. (In Russ.).
8. Bobrov V.T., Slyadnev A.M. Robotic systems of non-destructive testing and technical diagnostics of industrial objects. Kontrol. Diagnostika = Testing. Diagnostics. 2018. № 2. рр. 16–31. (In Russ.). DOI: 10.14489/td.2018.02.pp.016-031
9. Sidorov V.A., Oshovskaya E.V. Practice of analyzing equipment failures. Metallurgicheskaya i gornorudnaya promyshlennost = Metallurgical and Mining Industry. 2013. № 4 (283). pp. 100–103. (In Russ.).
10. Vasconcelos V., Soares W.A., Marques R.O. Integrated Engineering Approach to Safety, Reliability, Risk Management and Human Factors. Human Factors and Reliability Engineering for Safety and Security in Critical Infrastructures: Decision Making, Theory, and Practice. Springer International Publishing AG, 2018. 258 p. DOI: 10.1007/978-3-319-62319-1_4
11. Nivolianitou Z., Konstandinidou М. A Fuzzy Modeling Application for Human Reliability Analysis in the Process Industry. Human Factors and Reliability Engineering for Safety and Security in Critical Infrastructures: Decision Making, Theory, and Practice. Springer, International Publishing AG, 2018. 258 p. DOI: 10.1007/978-3-319-62319-1_5
12. Olsen N.S. Close Enough is not Good Enough: Improving the Reliability of Accident and Incident Classification Systems in High Hazard Industries. Available at: http://unsworks.unsw.edu.au/fapi/datastream/unsworks:40553/SOURCE02?view=true (accessed: October 30, 2020).
13. Vasilyev V.I., Sulavko A.E., Borisov R.V., Zhumazhanova S.S. Identification of the Psychophysiological State of the User Based on Hidden Monitoring in Computer Systems. Scientific and Technical Information Processing. 2018. Vol. 45. Iss. 6. pp. 398–410. DOI: 10.3103/ S0147688218060096
14. Medvedeva N.A. Psychological Prevention of Industrial Injuries. Bezopasnost Truda v Promyshlennosti = Occupational Safety in Industry. 2021. № 1. pp. 73–78. (In Russ.). DOI: 10.24000/0409-2961-2021-1-73-78