| Related citation: | Dongwei Gu,Zhiqiong Wang,Guixiang Shen,Yingzhi Zhang,Xilu Zhao.A New Approach for Parameter Estimation of Mixed Weibull Distribution: A Case Study in Spindle[J].Journal of Harbin Institute Of Technology(New Series),2016,23(3):69-74.DOI:10.11916/j.issn.1005-9113.2016.03.007. |
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| Author Name | Affiliation | | Dongwei Gu | School of Mechatronic Engineering, Changchun University of Technology, Changchun 130012, China | | Zhiqiong Wang | College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China | | Guixiang Shen | College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China | | Yingzhi Zhang | College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China | | Xilu Zhao | Department of Engineering, Saitama University, Saitama-ken , Japan |
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| Abstract: |
| In order to improve the accuracy and efficiency of graphical method and maximum likelihood estimation (MLE) in Mixed Weibull distribution parameters estimation, Graphical-GA combines the advantage of graphical method and genetic algorithm (GA) is proposed. Firstly, with the analysis of Weibull probability paper (WPP), mixed Weibull is identified to data fitting. Secondly, the observed value of shape and scale parameters are obtained by graphical method with least square, then optimizing the parameters of mixed Weibull with GA. Thirdly, with the comparative analysis on graphical method, piecewise Weibull and two-Weibull, it shows graphical-GA mixed Weibull is the best. Finally, the spindle MTBF point estimation and interval estimation are got based on mixed Weibull distribution. The results indicate that graphical-GA are improved effectively and the evaluation of spindle can provide the basis for design and reliability growth. |
| Key words: spindle mixed Weibull distribution WPP graphical-GA |
| DOI：10.11916/j.issn.1005-9113.2016.03.007 |
| Clc Number:TG659, TB114.3 |
| Fund: |
