Supporting the life cycle of complex technical object on the basis of predictive analytics

Abstract

Application of predictive analytics in design, production and exploitation to achieve efficiency of life cycle of complex technical systems is discussed. Predictive model for life cycle information support of microsatellite propulsion system on the basis of system of neural networks is suggested. The predictive model can solve tasks of estimation of fuel consumption, diagnostics and possible failures detection for the small propulsion system.