Analyzing Avionics Electronic Maintenance Capacity Based on Random Strategy

In order to ensure the flight safety of Civil aviation industry, avionics Electronic maintenance is of great importance. Therefore, in this paper, we propose a random strategy to analyze and forecast avionics electronic maintenance capacity. The avionics Electronic maintenance process is designed to predict total amount of delayed orders in the whole avionics electronic maintenance process. In particular, all data in avionics electronic maintenance capacity analyzing can be classified into three types: 1) analog value, 2) calculated value, and 3) forecasting value. Monte Carlo method is able to generate random numbers from a pre-defined probability distribution via statistics theory, and then we utilize Markov Chain to improve the performance of Monte Carlo method. Furthermore, Markov chain Monte Carlo method samples construction disturbances exploiting correlations between states of parameters via Markov state transition probability matrix. Finally, experimental results demonstrate that the proposed method can analyze avionics electronic maintenance capacity with high accuracy.