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Peer-reviewedCC BY-NCReliability: Theory & Applications

Failure Prevention Based on Parameters Estimation and Prediction

  • Oleg Abramov1
  1. 1Vladivostok, Russia
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Abstract

A problem of the state prediction and condition-based maintenance of complex engineering systems is considered. An approach to solving this problem is based on the construction of the special minimax and robust algorithms, which can be used in the case when inspection data are incomplete and insufficient. The method for individual robust prediction based on the extremal properties of Karlin polynomials and the ideas of minimax estimation is proposed.

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Cite

BibTeXRIS
BibTeX
@article{abramov2026failure,
  title = {{Failure Prevention Based on Parameters Estimation and Prediction}},
  author = {Oleg Abramov},
  journal = {Reliability: Theory \& Applications},
  year = {2026},
  month = sep,
  doi = {10.66721/z544qg28},
  url = {https://doi.org/10.66721/z544qg28},
  note = {CC BY-NC},
}
RIS
TY  - JOUR
TI  - Failure Prevention Based on Parameters Estimation and Prediction
AU  - Oleg Abramov
PY  - 2026
DA  - 2026/09/01
JO  - Reliability: Theory & Applications
DO  - 10.66721/z544qg28
UR  - https://doi.org/10.66721/z544qg28
AB  - A problem of the state prediction and condition-based maintenance of complex engineering systems is considered. An approach to solving this problem is based on the construction of the special minimax and robust algorithms, which can be used in the case when inspection data are incomplete and insufficient. The method for individual robust prediction based on the extremal properties of Karlin polynomials and the ideas of minimax estimation is proposed.
SN  - 1932-2321
ER  -