General models for system reliability and testability optimization considering multi mission profiles

Abstract

Different kinds of operating environment and multiple mission conditions result in dynamic mission definitions, stages and profiles of complex systems like avionic systems in airplanes. A complex system usually consists multiple parts, units or subsystems which perform limited functions and are hardly under operation for all time. Based on such circumstances, traditional system reliability and testability (R&T) analysis may incur incompleteness, eventually resulting in testability optimization deviation. To solve this problem, six novel R&T integrated optimization models considering multi mission profiles and multi systems are introduced in this paper to improve testability design for adaptability in multi-mission situations: R&T optimization model for serial stationary mission profiles, parallel stationary mission profiles, stochastic serial mission profiles with exclusive mission stages, stochastic serial mission profiles with correlative mission stages, independent parallel mission profiles and identical parallel mission profiles. The proposed models are defined and designed based on normal working conditions. The validity and effectiveness of the given models can be verified when specific meanings of parameters is given according to real problems.