Abstract
The article proposes to consider the problem of assessing the technical condition of technological machines and equipment not at the practical and scientific—research levels, but to use interdisciplinary scientific and technical, practice-oriented research. It has been substantiated that, in accordance with the theory of probability, there can be only one failure in the unit at a time. The concept of an integrated parameter is introduced, which to a greater extent characterizes the state of the unit. An algorithm for recognizing the area of displacement of uncertainty zones has been developed, the translation of which into a digital format with the introduction of a recognition criterion will provide a defect identification (risk-failure). The practical implementation of the risk-failure identification mechanism is carried out with a simulation model of a change in the state of a technical system using the example of a cardan joint of a technological machine, which is in severe operating conditions during reclamation work. The inclusion of a digital module for monitoring the technical condition of the unit in the design of technological machines is substantiated.
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References
Grib VV, Zorin VA, Zhukov RV (2016) Multi-criteria assessment of the technical condition of mechanisms and machines (dynamics and wear). Repair Reconditioning Modernization 6:19–22
Apatenko AS (2013) Effect of vehicles service life on their operational reliability and land reclamation work. Mach Equipment Rural Area 10:4–6
Apatenko AS (2013) Analysis of processes and reasons for reducing the intensity of operation of technological machines. Vestnik of Federal State Educational Establishment of Higher Professional Education “Moscow State Agroengineering University named after V. P. Goryachkin”, vol 3, issue 59, pp 49–51
Zorin VA, Baurova NI, Balovnev VI, Grib VV, Kosenko EA (2019) Informational model of state change in a mechanical system. Russ Eng Res 39:680–682
Sevryugina N, Kapyrin P (2018) Technological machines, construction resources, efficiency and safety. MATEC Web Conf 178:06017
Khalifa M, Dujun TA (2020) Classification and zoning of riverine territories of small towns on the example of the Belgorod region. Bulletin BSTU Named After V.G. Shukhov 8:101–109
Sanin SN, Sapelin KI (2019) Automation control of large diameter bent piplines. Bulletin BSTU Named After V.G. Shukhov 2:156–163
Kuznetsov AP, Blau P, Koriath H-J, Richter M (2016) Criteria for energy-efficiency of technological processes, technological machines and production engineering. Procedia CIRP 46:340–343
Chou H-H, Zolkiewski J (2012) Managing resource interaction as a means to cope with technological change. J Bus Res 65(2):188–195
Siltala N, Järvenpää E, Lanz M (2018) An executable capability concept in formal resource descriptions. IFAC-Papers On Line 51(11):102–107
Chalaganidze SI, Katsitadze JB, Kutelia GG (2017) The theoretical and experimental study of the ploughs’ ploughs hare sin order to increase the reliability of resource-saving technology using similarity and dimensions theory. Ann Agrarian Sci 15(3):329–331
Valerie CY, Sun ZL, Sun L, Li X (2010) Single-machine scheduling time-dependent jobs with resource-dependent ready times. Comput Ind Eng 58(1):10–15
Berg S, Wustmans M, Bröring S (2019) Identifying first signal so emerging dominance in a technological in novation system: a novel approach based on patents. Technol Forecast Soc Change 146:706–722
Sun X, Zhou X, Chen Z, Yang Y (2020) Environmental efficiency of electric power industry, market segmentation and technological innovation: empirical evidence from China. Sci Total Environ 706:135749
Huang H-C, Su H-N (2019) The innovative ful crums of technological interdisciplinarity: an analysis of technology fields in patents. Technovation 84–85:59–70
Wang D, Tong X, Wang Y (2020) An early risk warning system for out ward foreign direct investment in mineral resource-based enter processing multi-classifiers fusion resources. Policy 66:101593
Sevryugina NS, Kapyirin D (2017) The effectiveness of the choice of means for mechanization of construction and special construction works. Mechanization Constr 78(11):59–64
Zorin VA, Baurova NI, Pegachkov AA (2019) Assessment of products risks of mechanical engineering by results of diagnosing. Periodicals Eng Nat Sci 7(1):287–293
Prusov A, Sevryugina N, Ovsienko A (2019) Smart house: model of resource management and safety of vertical transport. E3S Web Conf 97:01016
Apatenko AS, Sevryugina NS (2019) Methods of recruiting of mobile repair services and maintenance of machines performing reclamation works. IOP Conf Ser Mater Sci Eng 786:012037
Sevryugina NS, Apatenko AS (2019) Digital systems and precision control of the process machinery performance in environmental engineering. Mach Equipment Rural Area 7(265):35–38
Kapyrin P, Sevryugina N (2018) The procedural approach to reliability of objects of the raised level of responsibility. IOP Conf Ser Mater Sci Eng 365:042018
Sevryugina N, Kapyrin P (2018) Resource verification of construction objects having increased importance level. MATEC Web Conf 251:03019
Brik B, Bettayeb B, Sahnoun M, Duval F (2019) Towards predicting system disruption in industry 4.0: machine learning-based approach. Procedia Comput Sci 151:667–674
Ari AAA, Gueroui A, Titouna C, Thiare O, Aliouat Z (2019) Resource allocation scheme for 5G C-RAN: a swarm intelligence base dapproach. Comput Netw 165:106957
Coccia M, Watts J (2020) A theory of the evolution of technology: technological parasitism and the implications for innovation management. J Eng Technol Manage 55:101552
Prenkert F, Hasche N, Linton G (2019) Towards a systematic analytical frame work of resource inter faces. J Bus Res 100:139–149
Zorin V, Baurova N (2018) Assessment of means of mechanization of construction risks using catastrophe theory. MATEC Web Conf 251:03008
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Sevryugina, N.S., Apatenko, A.S., Kozhukhova, N.I. (2022). Methods for Reducing the Uncertainty of Risks of Failures of Elements in Technological Machines. In: Klyuev, S.V. (eds) Digital Technologies in Construction Engineering. Lecture Notes in Civil Engineering, vol 173. Springer, Cham. https://doi.org/10.1007/978-3-030-81289-8_11
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