Dependability modeling and analysis in a Ship-borne Microwave Unified Instrumentation System

With the development of aerospace industry, the number of tasks on sea base steadily increases. It leads that parameters of measurement and control equipment are tested more frequently, their test process is more complicated, and their test time wastes more. At the same time, the demands to improve the dependability of instrument and equipment become urgent. In paper, a typical Ship-borne Microwave Unified Measurement and Control System´s dependability will be analyzed and evaluated. However, many common dependability methods can not analyze system´s behavior pattern and dynamic change of faults´ distribution, which can not meet people´s needs. So the Generalized Stochastic Petri Net (GSPN) is applied to build a mathematical model for system. Then the model is isomorphic to markov chain according to stochastic Petri net´s properties. Through solving markov equation, many parameters of system dependability are exactly evaluated, such as reliability, maintainability, availability and so on.