Концепція метрологічного забезпечення в індустрії 4.0
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The use of intelligent sensors, network technologies, the Internet of things, machine learning in Industry 4.0 is a mass phenomenon in the design and reconstruction of technological processes in industries. This raises new problems associated with the need to revise the basic principles of metrological support of production, such as calibration, estimation of measurement uncertainty, ensuring traceability, processing large amounts of data to reproduce and compare the results of measurements of physical quantities in remote mode. The tradition-al methods of calibrating measuring instruments with the introduction of Industry 4.0 become economically disadvantageous with the use of relatively inexpensive intelligent sensors, and the use of sophisticated network technologies along with machine learning lead to the harder methods of preliminary processing of measured values. In this regard, new approaches are proposed to solve the problem of remote calibra-tion of measuring instruments used in Industry 4.0.
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Васілевський О. М. Концепція метрологічного забезпечення в індустрії 4.0 [Текст] / О. М. Васілевський // Інформаційні технології та комп'ютерна інженерія. – 2020. – № 2. – С. 37-44.
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Список використаної літератури (22)
- H. Minssen, «Industrie 4.0», Fortsetzung folgt. Springer VS, Wiesbaden, pp. 117-135, 2017.
- V. Wilkens, C. Koch, «Amplitude and phase calibration of hydrophones up to 70 MHz using broad-band pulse excitation and an optical reference», JASA, 115 (6), pp. 2892-12, 2004.
- O. Vasilevskyi, P. Kulakov, D. Kompanets, O. Lysenko, V. Prysyazhnyuk, W. Wójcik, D. Baitussupov, «A new approach to assessing the dynamic uncertainty of measuring devices», Pro-ceedings Volume 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 2018, 108082E.
- L. Windelband, «Work requirements and qualifications in maintenance 4.0», Advances in Ergonomic Design of Systems, Products and Processes. Springer, Berlin, Heidelberg, рр. 89-102, 2017.
- O. M. Vasilevskyi, P. I. Kulakov, K. V. Ovchynnykov, V. M. Didych, «Evaluation of dynamic mea-surement uncertainty in the time domain in the application to high speed rotating machinery», Interna-tional Journal of Metrology and Quality Engineering, Vol. 8, Article Number 25, 2017.
- A. Link, A. Täubner, W. Wabinski, T. Bruns, C. Elster, «Calibration of accelerometers: determination of amplitude and phase response upon shock excitation», Meas. Sc. Technol, 17 (7), 1888, 2006.
- C. Elster, A. Link, «Uncertainty evaluation for dynamic measurements modelled by a linear time-invariant system», Metrologia, 45 (4), pp. 464-473, 2008.
- О. M. Vasilevskyi, V. M. Didych, «The method of expressing the uncertainty of dynamic measure-ments», Modern engineering research: topical problems, challenges andmodernity: Collective mo-nograph. Riga. Latvia: Izdevnieciba «Baltija Publishing», 2020, pp. 63-83.
- P. Hale, A. Dienstfrey, J. Wang, D. Williams, A. Lewandowski, D. Keenan, T. Clement, «Traceable Waveform Calibration With a Covariance-Based Uncertainty Analysis», IEEE Trans. Instrum. Meas, 58(10), pp. 3554-3568, 2009.
- O. M. Vasilevskyi, P. I. Kulakov, I. A. Dudatiev, V. M. Didych, A. Kotyra, B. Suleimenov, A. As-sembay, A. Kozbekova, «Vibration diagnostic system for evaluation of state interconnected electrical motors mechanical parameters», Proc. SPIE 10445, Photonics Applications in Astronomy, Communi-cations, Industry, and High Energy Physics Experiments 2017, 2017, 104456C.