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Academic Journal
The Predictive Diagnosis Based on Hurst Indicator and Logistics Trends
V. Ya. Shpicer, V. V. Krivin, V. A. Tolstov
Глобальная ядерная безопасность, Vol 0, Iss 4, Pp 47-55 (2022)
Sparad:
| Titel | The Predictive Diagnosis Based on Hurst Indicator and Logistics Trends |
|---|---|
| Författarna | V. Ya. Shpicer, V. V. Krivin, V. A. Tolstov |
| Utgivningsår |
2022
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| Källa |
Глобальная ядерная безопасность, Vol 0, Iss 4, Pp 47-55 (2022)
|
| Beskrivning |
The article presents the results of identifying pre-failure conditions. The results based on fractal analysis and nonparametric statistics. The NPP equipment units are highly reliable systems for long life cycle. These systems are characterized by slow graduating failures. This happens due to the accumulation of irreversible damage. Standard information measuring systems supply time series. They are traditionally processed by parametric methods. The processing of experimental data can be automated for industrial monitoring of NPP equipment parameters.
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| Dokumenttyp |
article
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| Språk |
English
Russian |
| Information om utgivare |
Национальный исследовательский ядерный университет МИФИ, 2022.
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| Ämnestermer | |
