INTEGRATION OF THE SYSTEM OF DIAGNOSTICS OF INDUSTRIAL EQUIPMENT AND ENTERPRISE ASSET MANAGEMENT SYSTEMS USING FIWARE FRAMEWORK

Main Article Content

D. KECHIK
I. DAVYDOV
Ya. HIERASIMUK
A. TSURKO
M. SMOLEV

Abstract

The purpose of this paper is to present integration of vibrational diagnosing system with a FIWARE framework. This integration increases scalability of the system and facilitates the further developing of the system. Designed system has been implemented and tested in real life conditions. The best economical effect can be achieved if the proposed system is used in full-automated manufacturing. Integration with subsystems of enterprise management of Industry 4.0 trend has been proposed. Operative recomputing of workflow and costs of each of alternative scenarios can maximize advantages of continuous automated monitoring of technical state of equipment. Advantages of application of the FIWARE framework for design of proposed Cyber- Physical System have been shown.

Article Details

How to Cite
KECHIK, D., DAVYDOV, I., HIERASIMUK, Y., TSURKO, A., & SMOLEV, M. (2021). INTEGRATION OF THE SYSTEM OF DIAGNOSTICS OF INDUSTRIAL EQUIPMENT AND ENTERPRISE ASSET MANAGEMENT SYSTEMS USING FIWARE FRAMEWORK. Vestnik of Polotsk State University. Part C. Fundamental Sciences, (4), 20-28. Retrieved from https://journals.psu.by/fundamental/article/view/853
Author Biography

I. DAVYDOV, Belarusian State University of Informatics and Radioelectronics, Minsk

PhD

References

Genkin, M.D. Vibroacoustic diagnostics of machines and mechanisms / M.D. Genkin, A.G. Sokolova. – Moscow : Mashinostroenie, 1987. – 288 p. (In Russian)

Abramov, I.L. Vibrational diagnostics of power equipment / I.L. Abramov. – Kemerovo : KuzGTU, 2011. – 81 p. (In Russian)

Barkov, A.V. Monitoring and diagnostics of rotary equipment relying on its vibration / A.V. Barkov, N.A. Barkova, A.Yu. Azovtsev. – Saint-Petersburg : SMTU, 2000. – 159 p. (in Russian)

Barkov, A.V. Vibrational diagnosing of machines and equipment. Analysis of vibration. Tutorial / A.V. Barkov, N.A. Barkova. – Saint-Petersburg : SMTU, 2004. – 156 p. (in Russian)

Scheffer, C. Practical Machinery Vibration Analysis and Predictive Maintenance / C. Scheffer, P. Girdhar. – Amsterdam : Elsevier, 2004. – 263 p.

Wind Turbine Condition Monitoring: State-of-the-Art Review, New Trends, and Future Challenges / P. Tchakoua [et al.] // Energies. – 2014. – Vol. 7, № 12. – P. 2595–2630.

NGSI-LD API: for Context Information Management [Electronic resource] / D. Bees [et al.]. – Mode of access: https://www.researchgate.net/publication/330927056_NGSI-LD_API_for_Context_Information_Management. – Date of access: 11.10.2020.

WHAT IS FIWARE? [Electronic resource] / FIWARE. – Mode of access: https://www.fiware.org. – Date of access: 11.10.2020.

Integration of system of industrial equipment diagnosing with ecosystems of Industry 4.0 trend based on FIWARE framework / D.A. Kechik [et al.] // Information radiosystems and radiotechnologies. – Minsk, 2020.

Vibrational diagnosing / Ye.Z. Madorskiy [et al.] ; ed. G.Sh. Rosenberg. – Saint-Petersburg : Federal State educational establishment, 2003. – 284 p. (in Russian)

Kechik, D.A. Vibrational signal power variance compensation during equipment speed mode changing / D.A. Kechik // Doklady BGUIR. – 2020. – Vol. 18, № 5. – P. 27–34. (in Russian)

Device for mounting of sensors on objects under studying : pat. BY 11689 / S.Y. Vasiukevich, Y.P. Aslamov, R.V. Tolkach. – Publ. date 15.02.2018. (in Russian)

Shirman, A.R. Practice of vibrational diagnosing and monitoring of equipment state/ A.R. Shirman, A.B. Solovyov. – Moskow : Nauka, 1996. – 276 p. (in Russian)

Approach of vibrational diagnosing of rolling bearing : pat. BY 2720328 / N.V. Kosmach, Yu.P. Aslamov. – Publ. date 28.04.2020. (in Russian)

Influence of changes in shaft rotational speed of rotary equipment on frequency-domain processing / Yu.P. Aslamov [et al.] // Doklady BGUIR. – 2018. – Vol. 113, No 13. – P. 13–18. (in Russian)

Zhang, X. A new time synchronous average method for variable speed operating condition gearbox / X. Zhang, G. Wen, T. Wu // J. Vibroengineering. – 2012. – Vol. 14, № 4. – P. 1766–1774.

Xu, M. Spike energy measurement and case histories / M. Xu. – P. 15.

Aslamov, Y.P. System of control of working capacity of rotary equipment based on analysis of temporal structure of vibrational signals : Doctor of Philosophy thesis : 05.13.01 / Y.P. Aslamov ; BSUIR. – Minsk, 2019. – 244 p. (in Russian)

Approach of vibrational diagnosing of rotary equipment for detection of rolling bearing defects : pat. EA EA034627B1 / Y.P. Aslamov. – Publ. date 28.02.2020. (in Russian)

Kechik, D. Segmented Autoregression Pitch Estimation Method / D. Kechik, I. Davydov // 2020 International Conference on Dynamics and Vibroacoustics of Machines (DVM), Samara, 16–18 September 2020 / Samara University. – Samara, 2020. – P. 1–6.

Sparse Wavelet Decomposition with Redundant Dictionary for Vibration Waveform Analysis / Y.P. Aslamov [et al.] // 14th International Conference on Pattern Recognition and Information Processing, Minsk, 21–32 May 2019 / BSUIR. – Minsk, 2019. – P. 6.

Vorobiov, V.I. Inter-component phase processing of quasipolyharmonic signals / V.I. Vorobiov, D.A. Kechik, S.Y. Barysenka // Appl. Acoust. – 2021. – Vol. 177. – 14 p.

Lei, Y. Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery / Y. Lei. – Pub. 1 edition. – Oxford, United Kingdom : Butterworth-Heinemann, 2016. – 376 p.

Lyon, R.H. Machinery Noise and Diagnostics / R.H. Lyon. – Butterworth-Heinemann, 2013. – 310 p.

Integrated Condition Monitoring and Prognosis Method for Incipient Defect Detection and Remaining Life Prediction of Low Speed Slew Bearings / W. Caesarendra [et al.] // Machines. – 2017. – Vol. 5, № 2. – P. 11.

Bengtsson, M. Machining Equipment Life Cycle Costing Model with Dynamic Maintenance Cost / M. Bengtsson, M. Kurdve // Procedia CIRP. – 2016. – Vol. 48. – P. 102–107.

Lienig, J. Fundamentals of Electronic Systems Design / J. Lienig, H. Bruemmer. – Cham : Springer International Publishing, 2017.

Dhillon, B.S. Engineering Maintenance: A Modern Approach / B.S. Dhillon. – Pub. 1. – Boca Raton : CRC Press, 2002.

Klutke, G. A critical look at the bathtub curve / G. Klutke, P.C. Kiessler, M.A. Wortman // IEEE Trans. Reliab. – 2003. – Vol. 52, № 1. – P. 125–129.

Bychkov, D.V. Economic efficiency of implementation of vibration-based diagnostic systems at enterprises / D.V. Bychkov // Energy Resource Saving. Diagnostics-2014 : XVI International theoretical and practical conference, Dimitrovgrad, 12–13 May 2014 / Promservis. – Dimitrovgrad, 2014. – P. 10.

Rolling bearings [Electronic resource]. – Mode of access: https://www.nsk.com/common/data/ctrgPdf/bearings/e1102m.pdf. –Date of access: 10.02.2021.

Vázquez, J.J.R. Open CPS Platforms [Electronic resource]. – Mode of access: https://www.researchgate.net/publication/280095935_Open_CPS_Platforms. – Date of access: 9.02.2021.

Ram, M. Advances in mathematics for Industry 4.0 / M. Ram. – Pub. 1. – San Deigo : Elsevier, 2020.

Kamaludin, N. Cyber Physical System in the industry / N. Kamaludin, B. Mulyanti // IOP Conf. Ser. Mater. Sci. Eng. – 2020. – Vol. 830, № 3. – P. 8.

Stefán, P. Shop-floor scheduling based on reinforcement learning algorithm / P. Stefán, L. Monostori // Prod. Syst. Inf. Eng. – 2003. – Vol. 1. – P. 83–90.

Alabdulkarim, A.A. Applications of Simulation in Maintenance Research / A.A. Alabdulkarim, P.D. Ball, A. Tiwari // World J. Model. Simul. – 2013. – Vol. 9, № 1. – P. 39.

Design of multiagent system «Smart Factory» for operative control of resources in real-time mode / V.F. Shpilevoy [et al.] // Information and control systems. – 2013. – № 6 (67). – P. 91–98. (in Russian)

Informational robots in systems of enterprise control / D. Ye. Namiot [et al.] // Int. J. Open Inf. Technol. – 2017. – Vol. 5, № 4. – P. 12–21. (in Russian)

Mourtzis, D. A cloud-based cyber-physical system for adaptive shop-floor scheduling and condition-based maintenance / D. Mourtzis, E. Vlachou // J. Manuf. Syst. – 2018. – Vol. 47. – P. 179–198.

Lamy, D. Energy-aware scheduling in reconfigurable multiple path shop floors / D. Lamy, J. Schulz, M.F. Zaeh // Procedia CIRP : 53rd CIRP Conference on Manufacturing Systems 2020. – 2020. – Vol. 93. – P. 1007–1012.

Ko, Y.M. Condition-based joint maintenance optimization for a large-scale system with homogeneous units / Y.M. Ko, E. Byon // IISE Trans. – 2017. – Vol. 49, № 5. – P. 493–504.

Hyperconnected Factories pathway [Electronic resource] / Connected factories. – Mode of access: https://www.connectedfactories.eu/hyperconnected-factories-pathway. – Date of access: 09.03.2021.