Research on the numerical control system reliability model using censored data

Weiwei Qiao, J. Jiao, Y. Jia
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引用次数: 4

Abstract

In the analysis of data for the reliability in CNC system, people commonly do not consider censored time. With the continuous improvement of reliability in CNC system, the failure rate is usually low in the timing censored test. All these produce a certain error in data analysis and parameter estimation. To solve this problem, this paper proposed to use censored data in the data analysis. First pre-process data of failure interval time, followed by the application of the cumulative failure rate to determine the distribution types primarily, then the maximum likelihood method is used to estimate the distributed parameters followed by fitting test with Hollander-Proschan method to get the distribution model. In this paper, failure data from 13 of a certain type numerical control system in four-month test were performed for processing and proved this method could improve precision in data analysis of reliability in CNC system.
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基于截割数据的数控系统可靠性模型研究
在数控系统可靠性数据分析中,人们通常不考虑截尾时间。随着数控系统可靠性的不断提高,定时截尾试验的故障率通常较低。这些都会在数据分析和参数估计中产生一定的误差。为了解决这一问题,本文提出在数据分析中使用截尾数据。首先对故障间隔时间数据进行预处理,然后应用累积故障率初步确定分布类型,然后采用极大似然法对分布参数进行估计,最后采用Hollander-Proschan方法进行拟合检验,得到分布模型。本文通过对某型数控系统4个月试验中的13台故障数据进行处理,证明该方法可以提高数控系统可靠性数据分析的精度。
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