The Analysis And Design Of The Matchinglization For System Availability

The interaction of subsystems often leads to fluctuations of instantaneous availability in the early use of new equipment, which represent that the new equipment cannot form fighting capacity quickly and need necessarily further adjusting. However, the evaluation theory of such fluctuations of instantaneous availability has not been established. The current researches on system availability mainly focus on the steady-state availability that denotes the behavior of the instantaneous availability when the time tends to infinity. With the rapid development of science and technology, equipment updating and out becomes faster and the equipment service period may now be only a few years or less, so the study on the instantaneous availability of new equipment systems during their service becomes more meaningful.Based on the engineering demands and the existing research results, this paper constructed a set of basic research framework and proposed the corresponding methods on the fluctuations of instantaneous availability. The major works are as follows:Firstly, based on the existing instantaneous availability models of one-unit repairable systems, the repairable systems with repair delay and the repairable systems with preventive maintenance, the instantaneous availability models under limited time constraints are built, which has simpler forms and is more convenient for computing. Moreover, the stability of the instantaneous availability models is proved, i.e., the steady-state availability exists, and the expressions of the steady-state availability are obtained.Secondly, the stability of instantaneous availability generates the interests in the fluctuation of instantaneous availability before it enters steady state. Via the analysis on instantaneous availability models, some fluctuating parameters are presented to characterize the fluctuation of the instantaneous availability and optimal control models on the fluctuating parameters of system instantaneous availability are put forward in whole life cycle.Thirdly, some simulations and analysis under truncated discrete Weibull distributions are given, in which the steady indices such as the mean time between failures, the mean time to repair and mean logistics delay time are all assumed to be fixed. The relationships between the parameters to describe the fluctuations of the instantaneous availability and the parameters of the truncated Weibull distributions are studied, and then some rules are obtained from simulation results.Finally, under truncated discrete Weibull distributions, the optimal control models reduce to constrained optimization models. The whole life cycle are divided into three phases including the demonstration phase, the development phase and the operational support phase.In each phase, the constrained optimization models such as the minimum amplitude model, the minimum adaptive time or the optimal preventive maintenance policy are studied. Moreover, the constrained optimization models are solved by Particle Swarm Optimization algorithm, which is more effective than Genetic Algorithm and Multi-agent Annealing Algorithm. Simulation results show the optimization models are valid and effective.