A Particle Filtering Approach for On-Line Failure Prognosis in a Planetary Carrier Plate

• DOI: 10.5391/ijfis.2007.7.4.221
• Publication Date: 2011-06-13T03:26:22Z
• Authors: Marcos E. Orchard; George J. Vachtse...
• Keywords: Line (geometry); Particle (ecology)

This paper introduces an on-line particle-filtering-based framework for failure prognosis in nonlinear, non-Gaussian systems. uses a nonlinear state-space model of the plant(with unknown time-varying parameters) and particle filtering(PF) algorithm to estimate probability density function(pdf) state real-time. The pdf is then used predict evolution time fault indicator, obtaining as result remaining useful life(RUL) faulty subsystem. approach provides information about precision accuracy long-term predictions, RUL expectations, 95% confidence intervals condition under study. Data from seeded test UH-60 planetary carrier plate are validate proposed methodology.