Automated System for Residual Life Evaluation

The paper discusses the development of automated system for evaluation of residual life of high risk objects. The approach is based on measurement and creation of basic diagnostic parameters area; development of relevant reference quantities data base; diagnostic parameters area clustering into nonoverlapping areas that characterize the actual object health and, finally, work out of decision rule that makes it possible to classify the object health as specific for certain area at certain time.