The Predictive Diagnosis Based on Hurst Indicator and Logistics Trends

Abstract

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.

Keywords

• диагностика
• предсказание
• контролируемые параметры
• обработка данных
• деградация
• индикатор хёрста
• наблюдение
• мониторинг
• логистические методы
• предотказные состояния
• нормативные интервалы
• распределение вероятности