In this model,pressure Y And force X is considered as random variables and the abilityof a component in a period as the probability of greater force of pressure over the course ofR = P(Y < X) Is defined. The main purpose of this thesis is to evaluate the evaluation RWhen X And Y Two random variables are independent of the beta-kumarasomi distribution.We first introduce the beta-coomaraswamy distribution, express its features, and estimate themaximum likelihood of distribution parameters based on a randomized n-type sample, andthen look at the sampling of a set of rank and estimate the distribution parameters as well asthe estimation. R Based on the sampling method, we obtain a ranking group and comparetwo sampling methods. In general, the pressure-force model and the maximal value problemR We discuss Beta-Kumaraswamy distribution