Abstract:

In order to solve the problems that the failure distribution is hard to be known and the technical condition is ignored when evaluating the equipment’s dependability, a method which can exchange the technical condition with mission reliability is proposed. As the technical condition is recognized by using the method of radial basis function neural network, the mission reliability is evaluated by using the cloudy model. After all of this, equipment’s dependability with an unknown failure distribution is evaluated within a steady time constraint.