Research on an integrated methodology of the dynamic performance and reliability evaluation

Abstract

Dynamic performance and reliability of systems are influenced by many dynamic factors and most of them are dynamic processes with stochastic characteristics. The static techniques of reliability analysis are difficult to assess the dynamic reliability accurately. In addition, despite the fact that classical probabilistic dynamics in the field of dynamic reliability can be used to solve the problems of dynamic reliability, it must depend on the function of physical parameters strictly which is relative to random loads, initial variables or time. So this paper proposes an integrated methodology of the dynamic performance reliability evaluation which can take into account all kinds of random factors and does not need function express. Firstly, dynamic factors can be classified as structure state factor and physics parameter factor. And Markov model of systems is constructed based on structure state factor, the catastrophic failure of components or structure redundancy. Then, physics parameter factors are imported as a random factor to the probabilistic dynamics model. Discrete physics parameters can be obtained through simulation of dynamic systems. Finally, these discrete parameters and state probability computed using Markov models are substituted into probability dynamics model. Then the failure rate and reliability with time forward are achieved. The applicability and effectiveness of this method are demonstrated by the quadruple redundancy Electro-Hydrostatic Actuator (EHA) system.