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Predictive Diagnostics and Maintenance of Industrial Equipment

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Abstract

Digitization of industrial enterprises is proposed, permitting the collection, analysis, and visualization of data regarding products, systems, machines, and facilities. The cloud platform of the Industrial Internet of Things permits the connection of any physical devices and sensors to the digital information space. Algorithms and functions included in the platform permit rapid adjustment of the system for equipment monitoring and its adaptation to the needs of the enterprise. By integrating data from physical devices and corporate systems, the enterprise may attain an unprecedented level of transparency and control over all assets and processes.

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Authors and Affiliations

  1. Moscow Automobile and Road Construction State Technical University (MADI), Moscow, Russia

    N. G. Kuftinova, A. V. Ostroukh, O. I. Maksimychev, Yu. E. Vasil’ev & M. G. Pletnev

Authors
  1. N. G. Kuftinova
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  2. A. V. Ostroukh
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  3. O. I. Maksimychev
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  4. Yu. E. Vasil’ev
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  5. M. G. Pletnev
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Corresponding authors

Correspondence to N. G. Kuftinova, A. V. Ostroukh, O. I. Maksimychev or Yu. E. Vasil’ev.

Additional information

Translated by B. Gilbert

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Kuftinova, N.G., Ostroukh, A.V., Maksimychev, O.I. et al. Predictive Diagnostics and Maintenance of Industrial Equipment. Russ. Engin. Res. 42, 158–161 (2022). https://doi.org/10.3103/S1068798X22020137

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  • DOI: https://doi.org/10.3103/S1068798X22020137

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