Reliability Evaluation on Machining Center Based on Three-Parameter Weibull Distribution

Abstract:

In order to improve the model accuracy of reliability evaluation, the Three-Parameter Weibull Distribution model of time between fault was established by introducing location parameters. The correlation coefficient optimization method based on the adaptive genetic algorithm was firstly applied to estimate the location parameter of the Three-Parameter Weibull Distribution. Shape parameter and scale parameter were obtained by the least square method. The time between failures of these series machining center submitting to three-parameter weibull Distribution was checked by the test hypothesis of goodness-of-fit distribution. Finally, the machining center was carried out reliability evaluation based on the Three-Parameter Weibull Distribution model.

• Periodical: Advanced Materials Research (Volumes 430-432)
• Pages: 1645-1649
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.430-432.1645
• Online since: January 2012
• Authors: Gong Chang Ren, Zhi Wei Yang, Bo Min Meng
• Keywords: Adaptive Genetic Algorithm (GA), Correlation Coefficient Optimization Method, Machining Center, Reliability Evaluation, Weibull Distribution

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