Reliability analysis for CNC gear hobbing machine with a new hybrid model of dual weibull distribution

Shuai Yang, Shilong Li, Yu Wang, Jean Carlo MacAncela

Research output: Contribution to journalArticlepeer-review

Abstract

The reliability of CNC gear hobbing machine is the basic factor for ensuring the quality, which is the most important factor that constitutes the market competitiveness of products. Therefore, a hybrid model of dual Weibull distribution was proposed to analyze the malfunction characteristics of CNC gear hobbing machine in this paper. By using the actual experimental data from working-sites, the parameters for hybrid model of dual Weibull distribution were estimated through Weibull Probability Paper and mathematic software. Comparisons were carried out between single Weibull distribution with dual parameters and the proposed method. The results show that the proposed method provide higher agreement with experimental data plots.

Original languageEnglish
Pages (from-to)98-106
Number of pages9
JournalInternational Journal of Performability Engineering
Volume16
Issue number1
DOIs
StatePublished - 1 Jan 2020

Bibliographical note

Funding Information:
This work was funded by Program of Chongqing Municipal Education Commission (KJZH17123), Research Start-Up Funds of Chongqing Technology and Business University (1856018), Program of Chongqing Municipal Education Commission (KJQN201800830), The Natural Science Foundation of China (71801044), the Natural Science Foundation of Chongqing (cstc2018jcyjAX0436) and MOST Science and Technology Partnership Program (KY201802006).

Keywords

  • CNC gear hobbing machine
  • Malfunction
  • Reliability
  • Weibull distribution

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