Author

Vladimir Vychuzhanin

Doctor of Technical Sciences, Professor

Odesa Polytechnic National University

65044, 1, Shevchenko Ave., Odesa, Ukraine

https://orcid.org/0000-0002-6302-1832

v.v.vychuzhanin@op.edu.ua

All articles

open access

Keywords: predictive maintenance; anomaly detection; shipboard energy systems; intelligent monitoring; real-time analytics; artificial intelligence-driven assessment; operational reliability

Using ChatGPT for the intelligent diagnostics of complex technical systems

Vladimir Vychuzhanin, Alexey Vychuzhanin*

vychuzhanin.o.v@op.edu.ua

https://doi.org/10.62660/bcstu/1.2025.68

Suggested citation

Vychuzhanin, V., & Vychuzhanin, A. (2025). Using ChatGPT for the intelligent diagnostics of complex technical systems. Bulletin of Cherkasy State Technological University, 30(1), 68-79. https://doi.org/10.62660/bcstu/1.2025.68
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  • 17.03.2025
  • 1,100 Views
  • Library Science. Record Studies. Informology - Volume 30, No. 1, 2025
open access

Keywords: decision support system; Bayesian aggregation; adaptive weight coefficients; case-based failure analysis; probabilistic metric; similarity of technical conditions

Adaptive similarity assessment metric for intelligent failure diagnostics in ship power plants

Vladimir Vychuzhanin*, Alexey Vychuzhanin

v.v.vychuzhanin@op.edu.ua

https://doi.org/10.62660/bcstu/3.2025.80

Suggested citation

Vychuzhanin, V., & Vychuzhanin, A. (2025). Adaptive similarity assessment metric for intelligent failure diagnostics in ship power plants. Bulletin of Cherkasy State Technological University, 30(3), 80-92. https://doi.org/10.62660/bcstu/3.2025.80
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  • 15.09.2025
  • 1,045 Views
  • Library Science. Record Studies. Informology - Volume 30, No. 3, 2025
open access

Keywords: intelligent diagnostics; reliability assessment; case-based reasoning; simulation modelling; technical condition forecasting; Bayesian networks; adaptive model

A hybrid model for evaluating the accuracy of failure forecasts in ship power plants

Vladimir Vychuzhanin*, Alexey Vychuzhanin

v.v.vychuzhanin@op.edu.ua

https://doi.org/10.62660/bcstu/1.2026.44

Suggested citation

Vychuzhanin, V., & Vychuzhanin, A. (2026). A hybrid model for evaluating the accuracy of failure forecasts in ship power plants. Bulletin of Cherkasy State Technological University, 31(1), 44-59. https://doi.org/10.62660/bcstu/1.2026.44
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  • 16.03.2026
  • 634 Views
  • Library Science. Record Studies. Informology - Volume 31, No. 1, 2026