Predictive Diagnostics and Maintenance of Industrial Equipment

Kuftinova, N. G.; Ostroukh, A. V.; Maksimychev, O. I.; Vasilev, Yuriy; Pletnev, M. G.

doi:10.3103/s1068798x22020137

Cited by 8 publications

(2 citation statements)

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“…Journal of Sensors maintenance processes (represented by predictive maintenance [63]). Some studies take a modelling-oriented approach, digital twin, based on technical engineering challenges, with the goal of characterising precise physical behaviors.…”

Section: Madni Et Al (2019) [22]mentioning

confidence: 99%

Digital Twin-Driven Machine Condition Monitoring: A Literature Review

et al. 2022

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Digital twin (DT), aiming to characterise behaviors of physical entities by leveraging the virtual replica in real time, is an emerging technology and paradigm at the forefront of the Industry 4.0 revolution. The implementation of DT in predictive maintenance has facilitated its growth. As a major component of predictive maintenance, condition monitoring (CM) has great potential to combine with DT. To describe the state-of-the-art of DT-driven CM, this paper delivers a systematic review on the theoretical and practical development of DT in advancing CM. The evolution of concepts, main research areas, applied domains, and related key technologies are summarised. The driver of DT for CM is detailed in three aspects: data support, capability enhancement, and maintenance mode shift. The implementation process of DT-driven CM is introduced from the classification of DT modelling and the extension of monitoring algorithms. Finally, current challenges and opportunities for future research are discussed especially concerning the barriers and gaps in data management, high-fidelity modelling, behavior characterisation, framework standardisation, and uncertainty quantification.

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Section: Madni Et Al (2019) [22]mentioning

confidence: 99%

Digital Twin-Driven Machine Condition Monitoring: A Literature Review

et al. 2022

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“…(J. ; 8. (Kuftinova, Ostroukh, Maksimychev, Vasil'ev, & Pletnev, 2022); 9. (Kuftinova, Ostroukh, Maksimychev, Vasil'ev, & Klimenko, 2022); 10.…”

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RFID in Industry 4.0

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et al. 2022

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The advent of Information and Communication Technology brought some advances in the field of Operations Management. RFID, when used as Ordering Coordination System, provides benefits not only for Production Control but also for some organisational functions that support the manufacturing sector. To identify these benefits, this work used a Systematic Literature Review. The results presented 15 benefits, classified into 4 areas that impact the Shop Floor Control and a framework containing the information flow necessary to operationalise the SFC 4.0. The discussion presented some insights relating the benefits with the maturity level of the entire SFC ecosystem when adopting RFID technology as an Ordering Coordination System and a brief agenda for future studies in this field of knowledge. It was possible to conclude that although the use of RFID is not new, its use as a premise for SFC operationalisation is yet in its initial stage of maturity, which could be reinforced by the fact that the most cited benefits were related to the initial stage of informational flow presented in the framework.

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