基于退化量分布的电主轴可靠性评估

中国机械工程 ›› 2014, Vol. 25 ›› Issue (6): 807-812.

基于退化量分布的电主轴可靠性评估

訾佼佼;刘宏昭;蒋喜;刘丽兰

西安理工大学,西安,710048

出版日期:2014-03-26 发布日期:2014-04-11
基金资助:
国家科技重大专项(2010ZX04014-012);国家自然科学基金资助项目（51275404）；陕西省自然科学基金资助项目(2012JQ7011)；陕西省重点学科建设专项资金资助项目

Reliability Assessment of Electric Spindle Based on Degradation Values Distribution

Zi Jiaojiao;Liu Hongzhao;Jiang Xi;Liu Lilan

Xi'an University of Technology,Xi'an,710048

Online:2014-03-26 Published:2014-04-11
Supported by:
National Science and Technology Major Project ( No. 2010ZX04014-012);National Natural Science Foundation of China（No. 51275404）;Shanxi Provincial Natural Science Foundation of China（No. 2012JQ7011）

摘要/Abstract

摘要：

针对在较短的时间内难以评估高可靠度、长寿命电主轴可靠度的问题，利用基于退化量分布的方法对其可靠性进行评估。首先对电主轴的失效机理进行了分析;然后结合退化量分布的基本原理和退化试验数据对电主轴的可靠性进行评估，分别求出电主轴的4个常用可靠性指标，同时绘制可靠度曲线、失效概率密度曲线以及失效率曲线;最后估计出电主轴的平均寿命和特征寿命。该方法缩短了试验时间,提高了评估精度,对长寿命产品的可靠性研究具有一定的意义。

关键词: 退化量分布, 电主轴, 可靠性, 寿命

Abstract:

It is difficult to assess the reliability of an electric spindle with high reliability and long lifetime in relatively short time. Based on the degradation value distribution method, the reliability of an electric spindle was evaluated. First of all, the failure principle of electric spindle was analyzed. Moreover, according to the basic principle of degradation value distribution and degradation test data, an assessment about electric spindle was made. Four commonly used reliability indexes of an electric spindle were calculated. In the meantime, reliability curves, failure probability density and failure rate were drawn. Finally, mean lifetime and characteristics lifetime of an electric spindle were evaluated. It has certain significance for products with long lifetime for the researches of reliability.

Key words: degradation value distribution, electric spindle, reliability, lifetime

中图分类号:

TH133.2

訾佼佼, 刘宏昭, 蒋喜, 刘丽兰. 基于退化量分布的电主轴可靠性评估[J]. 中国机械工程, 2014, 25(6): 807-812.

Zi Jiaojiao, Liu Hongzhao, Jiang Xi, Liu Lilan. Reliability Assessment of Electric Spindle Based on Degradation Values Distribution[J]. China Mechanical Engineering, 2014, 25(6): 807-812.

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