Reliability Life Analysis of Aeronautical Equipment Components Based on Weibull Distribution
Abstract— Aiming at the Prognostic and Health Management (PHM) demand of modern aeronautical equipment, in this paper, we use the 3-parameter Weibull distribution to establish the reliability analysis model of aeronautical equipment components, and propose the least squares method and the maximum likelihood method to estimate the parameters and curve fitting of Weibull model order to improve the precision of Weibull distribution in lifetime forecast. An experiment was made for 20 same core components of the aeronautical equipment. The least squares and maximum likelihood methods were applied to deal with the experimental data independently, and the fitting effects of the two were compared and analyzed. The effect contrast indicated that the former has a higher estimation precision．The results showed that this method has very strong practicability and high precision. It provides a reliable basis for Condition-Based Maintenance (CBM) for aeronautical equipment.
Index Terms— Weibull distribution, reliability analysis, life prediction, aeronautical equipment
Qingdao Campus, Naval Aviation University, CHINA
Cite: Yanming Yang, "Reliability Life Analysis of Aeronautical Equipment Components Based on Weibull Distribution," Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, pp. 812-817, Bangkok, 28-30 June, 2018.