Publication: Publication Date: 1 September 2020
Metrological Assurance and Standardization of Advanced Tools and Technologies for Nondestructive Testing and Condition Monitoring (NDT4.0)
In the article urgent tasks of the development of NDT and CM metrological assurance, as well as problems of standardization of general principles and specific technical solutions in the context of the fourth industrial revolution main trends are discussed. The following questions are considered: Development of the NDT metrological assurance based on the concept of multi-parameter measurements, development of standards for remote adjustment and calibration of intelligent sensors in distributed measuring networks. Attestation and verification issues (metrological assurance) of digital models (twins) for inspected objects and measuring and testing devices – Methodological principles for constructing self-monitoring and self-calibrating intelligent measuring transducers (sensors) for cyber-physical systems of smart manufacturing and distributed condition monitoring systems (quality infrastructure). Development of standards for various components of distributed CM systems (smart sensors interfaces and protocols for transmitting information, software, and hardware platforms for collecting and processing information, digital twins of tools and control objects) embedded in the overall standardization system for smart industries, which realized key principles of Industry 4.0 in terms of compatibility, transparency, technical support, and decentralization of management decisions based on intelligence machine algorithms.
DOI: https://doi.org/10.1080/09349847.2020.1841863
References
D. Imkamp et al., J. Sens. Sens. Syst. 5, 325 (2016). DOI: 10.5194/jsss-5-325-2016.
R. Taymanov et al., J. Phys.: Conf. Ser. 1379, 012049 (2019). DOI: 10.1088/1742-6596/1379/1/012049.
R. Taymanov and K. Sapozhnikova, 1 - What makes sensor devices and microsystems “intelligent” or “smart”? in Woodhead Publishing Series in Electronic and Optical Materials, Smart Sensors and MEMs, Second ed, edited by S. Nihtianov and A. Luque (Woodhead Publishing, 2018), pp. 1–22. DOI: 10.1016/B978-0-08-102055-5.00001-2.
S. Sony, S. Laventure, and A. Sadhu, Struct. Control Health Monit. 26, e2321 (2019). DOI: 10.1002/stc.2321.
G. Morgenthal, et al., Sensors 19 (9), 2070 (2019). DOI: 10.3390/s19092070.
I. Smith, Front. Built. Environ. 2, 8 (2016). DOI: 10.3389/fbuil.2016.00008.
Y. Bao, et al., Engineering. 5 (2), 234 (2019). DOI: 10.1016/j.eng.2018.11.027.
V. I. Travush et al., Soil Mech. Found. Eng. 56, 98 (2019). DOI: 10.1007/s11204-019-09576-9.
B. Chapuis, Introduction to structural health monitoring, in Sensors, Algorithms and Applications for Structural Health Monitoring, edited by B. Chapuis and E. Sjerve (IIW Collection. Springer, Cham, 2018), pp. 1–11. DOI: 10.1007/978-3-319-69233-3_1.
F. Adamo, et al., IEEE Sens. J. 15 (5), 2514 (2015). DOI: 10.1109/JSEN.2014.2360816.
E. R. Griffor et al., NIST Special Publication 1500-201 (2017). DOI: 10.6028/NIST.SP.1500-201.
A. H. Alavi et al., Measurement 129, 589 (2018). DOI: 10.1016/j.measurement.2018.07.067.
H. Kagermann, W. Wahlster, and J. Helbig, Securing the future of German manufacturing industry. Recommendations for implementing the strategic initiative INDUSTRIE 4.0. Final report of the Industrie 4.0 Working Group. (Forschungsunion, acatech, Apr. 2013) https://en.acatech.de/publication/recommendations-for-implementing-thestrategic-initiative-industrie-4-0-final-report-of-the-industrie-4-0-working-group/.
K. V. Gogolinskiy and V. A. Syasko, Insight - Non-Destructive Testing and Condition Monitoring, 61 (8), 434 (2019). DOI: 10.1784/insi.2019.61.8.434.
M. J. Kaur, V. P. Mishra, and P. Maheshwari, The convergence of digital twin, IoT, and machine learning: transforming data into action, in Digital Twin Technologies and Smart Cities, edited by M. Farsi et al. (Springer, Cham, 2020), pp. 3–17. DOI: 10.1007/978-3-030-18732-3_1.
M. Bertovic Human, Factors in Non-Destructive Testing (NDT): risks and Challenges of Mechanized NDT, Thesis, BAM-Dissertationsreihe, Band 145, Berlin, 2016. DOI: 10.14279/depositonce-4685.
S. Eichstädt, PTB-Mitteilungen, 127 (4), 40 (2017). DOI: 10.7795/310.20170401EN.
K. V. Gogolinskii and V. A. Syasko, J. Phys.: Conf. Ser. 1379, 012045 (2019). DOI: 10.1088/1742-6596/1379/1/012045.
S. S. Golubev et al., Phase-sensitive eddy-current method of metallic coating thickness measurement. On question of calibration and verification of coating thickness gauges and metallic coating thickness standards. in Proc. 55th Annual Conf. of the British Institute of Non-Destructive Testing (NDT 2016), 12-14 Sept. 2016, Nottingham, UK, British Institute of Non-Destructive Testing, 2016, pp 166–174.
S. S. Golubev, N. I. Smirnova, and M. I. Skladanovskaya, Meas. Tech. 60, 552 (2017). DOI: 10.1007/s11018-017-1233-0.
V. A. Syas’ko et al., Russ. J. Nondestruct. Test 54, 698 (2018). DOI: 10.1134/S1061830918100091.
V. A. Syas’ko et al., Russ. J. Nondestruct. Test 55, 851 (2019). DOI: 10.1134/S1061830919110093.
JCGM 200, International vocabulary of metrology – basic and general concepts and associated terms (VIM) (ISO/IEC Guide 99) https://www.iso.org/sites/JCGM/VIMJCGM200.htm.
JCGM 100, Evaluation of measurement data— guide to the expression of uncertainty in measurement (GUM) (ISO/IEC Guide 98-3). 2008. https://www.iso.org/sites/JCGM/GUM-JCGM100.htm.
R. Taymanov and K. Sapozhnikova, Measurement, 43 (7), 869 (2010). DOI: 10.1016/j.measurement.2010.04.004.
R. Taymanov, K. Sapozhnikova, and I. Druzhinin, Sens. Transducers. J., 10 (Special), February 2011, 30–45. https://www.sensorsportal.com/HTML/DIGEST/february_2011/P_SI_131.pdf.
V. I. Mironov, I. V. Fominov, and A. N. Maletin, SPIIRAS Proc., 3 (40), 93 (2015). DOI: 10.15622/sp.40.7.
GOST R 8.673, Intelligent Sensors and Intelligent Measuring Systems. Basic Terms and Definitions (Standartinform, Moscow, 2009). (in Russian).
GOST R 8.734, Intelligent Sensors and Intelligent Measuring Systems. Methods of Metrological Self-checking (Standartinform, Moscow, 2011). (in Russian).
GOST R 8.825, Intelligent Sensors and Intelligent Measuring Systems. Accelerated Test Methods (Standartinform, Moscow, 2013). (in Russian).
A. M. Chertov, et al., Insight - Non-Destructive Testing and Condition Monitoring. 54 (5), 257–261 (2012). DOI: 10.1784/insi.2012.54.5.257.
S. Hackel, et al., PTB-Mitteilungen. 127 (4), 75 (2017). DOI: 10.7795/310.20170403.
IEEE SA, Internet of Things. IEEE standards enabling products with real-world applications. https://standards.ieee.org/initiatives/iot/index.html.
ISO and IEC Joint Technical Committee ISO/IEC JTC 1 Information technology. https://www.iso.org/isoiec-jtc-1.html.
Metrics
| Usage | Shares |
|---|---|
Total Views 22 Page Views |
Total Shares 0 Tweets |
22 0 PDF Downloads |
0 0 Facebook Shares |
| Total Usage | |
| 22 |