Email this article Predicting Drift of the Parameters of Dynamic Systems with a Finite Number of Random Perturbative Factors
- Authors: Sysoev Y.S.1
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Affiliations:
- Volgodonsk Engineering and Technical Institute, Branch of the National Research Nuclear University MEPhI
- Issue: Vol 59, No 8 (2016)
- Pages: 810-816
- Section: General Problems of Metrology and Measurement Technique
- URL: https://journals.rcsi.science/0543-1972/article/view/245446
- DOI: https://doi.org/10.1007/s11018-016-1049-3
- ID: 245446
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Abstract
The need to use mixtures of distributions for monitoring the parameters of different dynamic systems whose state depends on several random factors, is evaluated. An algorithm employing mixtures of Poisson distributions for stochastic prediction of changes in these parameters during system operation is proposed.
About the authors
Yu. S. Sysoev
Volgodonsk Engineering and Technical Institute, Branch of the National Research Nuclear University MEPhI
Author for correspondence.
Email: sysoev2004@mail.ru
Russian Federation, Volgodonsk
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