基于Bayes方法的机床主轴加速寿命试验可靠性研究

系统仿真学报 ›› 2016, Vol. 28 ›› Issue (7): 1667-1672.

基于Bayes方法的机床主轴加速寿命试验可靠性研究

迟玉伦, 李郝林

上海理工大学机械工程学院, 上海 200093

收稿日期:2015-01-22 修回日期:2015-03-11 出版日期:2016-07-08 发布日期:2020-06-04
作者简介:迟玉伦(1982-),男,黑龙江,博士生,研究方向为数控技术;李郝林(1961-),男,陕西,博士,教授,博导,研究方向为数控技术。
基金资助:
上海市科委科研计划(15110502300)

Study Machine Tool Spindle Performance Reliability Based on Bayes Method

Chi Yulun, Li Haolin

Mechanical Engineering College, University of Shanghai for Science and Technology, Shanghai 200093, China

Received:2015-01-22 Revised:2015-03-11 Online:2016-07-08 Published:2020-06-04

摘要/Abstract

摘要： 随着高精度机床发展,对机床主轴可靠性要求越来越高。利用加速寿命试验对机床主轴可靠性寿命评估正在成为研究热点,如何提高其评估精度是一个非常重要的问题。根据机床主轴的可靠性寿命服从Weibull分布特性,利用贝叶斯(Bayes)方法对机床主轴进行加速寿命可靠性研究,由于加速寿命试验载荷环境与实际工作载荷环境存在一定差异,提出了在Bayes理论中引入环境差异因子的方法对机床主轴可靠性分析计算,获得更高的可靠性寿命评估精度。通过Monte-Carlo方法仿真与实验研究,验证了该方法对机床主轴可靠性评估的准确性和有效性,为提高主轴可靠性寿命提供了理论基础和解决办法。

关键词: 机床主轴, Bayes, 环境差异因子, 可靠性

Abstract: With the development of high precision machine tool, the reliability requirement is higher and higher for machine tool spindle. Reliability evaluation of spindle based on accelerated life testing is becoming a hot spot of research, and how to improve the precision of evaluation is one of the most important issues. According to the Weibulldistribution characteristic of machine tool spindle reliability, the spindle accelerated life reliability was studied by using the Bayes method. Due to the environment difference between the accelerated test load and the actual working load. The Bayes theory which used the environment difference factor, was introduced to calculate spindle reliability and to get higher accuracy assessment. The method effectiveness was proved by the Monte-Carlo simulation and experiment research, and it provides theoretical basis and solution for the spindle reliability assessment.

Key words: machine tool spindle, Bayes, environmental difference factor, reliability

中图分类号:

TH123

迟玉伦, 李郝林. 基于Bayes方法的机床主轴加速寿命试验可靠性研究[J]. 系统仿真学报, 2016, 28(7): 1667-1672.

Chi Yulun, Li Haolin. Study Machine Tool Spindle Performance Reliability Based on Bayes Method[J]. Journal of System Simulation, 2016, 28(7): 1667-1672.

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