Fault distribution analysis of airborne equipment based on probability plot

The probability plot of a distribution model is desired since it can help to decide on whether the model is appropriate for fitting a given dataset and can provide the initial estimate of the model parameters. The decision on the appropriateness of a distribution is somehow subjective. Owing that the Weibull distribution is frequently applied for reliability engineering and fault data analysis, this paper presents a probability plot of the Weibull distribution. The distribution of the probability plot correlation coefficient is studied. Then, the novel parametric estimation is proposed using the least square method regarding the least quadratic sum of horizontal and vertical residuals. At last, an application example is given. The results show that this method is feasible and effective for distribution analysis of airborne equipment.