Development of Digital Twin for Centrifugal Rotating Equipment Assets

Yusupbekov N., Adilov F., Ivanyan A.

4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Turkey, 19 - 21 July 2022, vol.505, pp.446-455 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 505
  • Doi Number: 10.1007/978-3-031-09176-6_51
  • City: Bornova
  • Country: Turkey
  • Page Numbers: pp.446-455
  • Keywords: Centrifugal rotating equipment, Centrifugal compressor, Centrifugal pumps, Performance, Digital twin, Efficiency, Reliability, Operation mode
  • Yıldız Technical University Affiliated: No


Centrifugal Rotating equipment is very critical part of industrial enterprise and processes in oil and gas, chemical and petrochemical branches. They are primarily used to boost the operating pressure and transfer liquid and gas respectively in a safe and reliable manner. Safe, efficient, and reliable machines are required to maintain dependable manufacturing processes that can create saleable, on-spec product on time, and at the desired production rate. Centrifugal compressor performance has a significant impact on overall plant performance in terms of energy usage, efficiency, and throughput. Centrifugal pumps are by far the most used of the pump types, among all the installed pumps in a typical petroleum plant almost 80-90% are centrifugal pumps. And one of the most challenging aspects of a rotating machinery professional or operator's job is deciding whether an operating machine should be shut down due to a perceived problem or be allowed to keep operating. The objective of this paper is to describe the research of authors in the creation of virtual digital twin for centrifugal rotating equipment assets category and ensure the right decision-making on the operation mode of rotating machine not by human but by intelligent IT-technology. This paper is one of original scientific papers from authors describing principal results on research and digital twin developments for exact different types of industrial assets.