Title :
Dynamic reliability prediction: how to adjust modeling and reliability growth?
Author_Institution :
Bull SA, Les Clayes sous Bois, France
Abstract :
A dynamic reliability prediction technique that has been applied to the DPS 7000, a mainframe computer system, is described. To construct a product reliability prediction that is applicable over the life cycle of the product, both the intrinsic technological characteristics and their evolutionary trends are considered. Improvements in such factors as organization, manufacturing, maintenance support, and customer familiarity can have a substantial influence on product reliability growth. Using observed measure of field performance, trends in reliability growth that are attributable to evolving product maturity can be identified and used to support dynamic adjustments to component reliability and reliability growth models, and thereby create dynamic reliability predictions
Keywords :
engineering computing; failure analysis; mainframes; reliability; DPS 7000; customer familiarity; dynamic reliability prediction; engineering computing; failure analysis; life cycle; mainframe; maintenance support; manufacturing; maturity; modeling; organization; performance; product; reliability growth; Consumer electronics; Costs; Feedback; Integrated circuit technology; Maintenance; Manufacturing; Prediction methods; Predictive models; Temperature; Thermal resistance;
Conference_Titel :
Reliability and Maintainability Symposium, 1991. Proceedings., Annual
Conference_Location :
Orlando, FL
Print_ISBN :
0-87942-661-6
DOI :
10.1109/ARMS.1991.154452
