Rare Event Anticipation and Degradation Trending for Aircraft Predictive Maintenance

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Авторы:

S. ALESTRA, C. BORDRY, C. BRAND, E. BURNAEV, P. EROFEEV, A. PAPANOV AND C. SILVEIRA-FREIXO

Издание:

11th World Congress on Computational Mechanics (WCCM XI)

Абстракт:

In this paper we examine problem of predictive maintenance in complex technical systems. We propose two approaches for anticipation of rare events (typically faults): 1) degradation detection and trending, and 2) failure discrimination based on classi cation techniques. The applicability of the approaches is illustrated on the realworld test cases from aircraft operations based on the data granted by AIRBUS.

Ключевые слова: Предиктивное техобслуживание, Авиация и космос

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