Information support of complex technical systems on the base of soft computing technologies

Abstract

Intelligent components of life cycle information support system for complex technical system are considered. The usage of genetic algorithm for optimizing complex technical system structure based on product data management database (PDM) is proposed. Complex of neural networks is used as “through life cycle” intelligent model to solve the tasks of technical state diagnostics and estimation of remaining internal resources and its’ consumption.