Performance Reliability Assessment of Retraction Mechanism Based on Bayesian Theory

The landing gear retraction mechanism incurs high test costs, leading to a shortage of test data and posing challenges in conducting performance reliability assessment. In response to this challenge, a mechanism performance reliability assessment method based on the Bayesian approach is proposed. This method aims to mitigate estimation errors resulting from limited test data and enhance the overall robustness of the assessment process. Firstly, a rigid-flexible coupling dynamic simulation model of the retraction mechanism is established, followed by the formulation of a kinematic accuracy reliability model. Subsequently, leveraging Bayesian theory and the motion characteristics of the retraction mechanism, the kinematic accuracy parameter estimation model that integrates prior and test samples is formulated. Finally, taking the retraction mechanism as research object, the estimated values of the kinematic accuracy parameter are obtained, and the performance reliability of the retraction mechanism is assessed. The results show that the proposed method yields consistently stable evaluation results and effectively diminishes the impact of uncertainties within the retraction mechanism on performance characterization.