Three-Parameter Estimation Method of Multiple Hybrid Weibull Distribution Based on the EM Optimization Algorithm

Author:

Dong Xiaowei,Sun Feng,Xu Fangchao,Zhang Qi,Zhou Ran,Zhang Liang,Liang ZhongweiORCID

Abstract

The hybrid Weibull distribution model can describe the failure rules of electromechanical products more accurately than the single Weibull distribution model, and it can improve the accuracy of reliability analysis. However, the hybrid Weibull distribution model is also more complex, and the multi-parameter estimation is more difficult. In this paper, a reliability mathematical model based on the two-fold three-parameter hybrid Weibull distribution model was established, an EM optimization algorithm was derived for its solution, and a practical initial parameter selection scheme was designed. The validity of the model and the algorithm were verified, and goodness-of-fit tests were conducted through an arithmetic example. The results showed that the initial value selection scheme proposed in this paper and the corresponding solution algorithm could solve all the parameters and weight coefficients to be estimated for each sub distribution, and the obtained failure probability fitting curve had a high fit with the actual sample data, which effectively solved the multi-parameter estimation problem of the multiple mixed Weibull distribution model.

Funder

National Natural Science Fund of China

National Key Research and Development Project

Scientific Research Fund Project of Liaoning Provincial Department of Education

Major Project of the Ministry of Science and Technology of Liaoning Province

National Natural Science Foundation of China

Science and Technology Innovative Research Team Program in Higher Educational Universities of Guangdong Province

Special Research Projects in the Key Fields of Guangdong Higher Educational Universities

Industry-University-Research Cooperation Key Project of Guangzhou Higher Educational Universities

Guangzhou University Research Project

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

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