摘要
讨论了由几个相互独立的子系统组成的串联系统的寿命服从两参数威布尔分布时,其子系统的可靠性建模问题。并指出当某子系统出现故障时,其他子系统故障数据按照截尾数据处理,然后用平均秩次法对故障顺序修正,据此进行模型参数估计和拟合性检验,可以达到减小建模误差、提高拟合精度的目的。最后以某加工中心现场试验数据为例介绍该方法的具体应用过程,以验证该方法的有效性和实用性。
This paper presents a method of the reliability modeling of a series system. Such a system is composed of several mutual independent subsystems, and the system life-time obeys two-parameter Weibull distribution. In this method, when one of subsystems is failure, the fault data of the other subsystems are processed as censored data, and the failure sequence is revised using the average rank time method. This method can be applied for model parameter estimation and fitting test to reduce the modeling error and improve the accuracy. Finally, as a case study, the real data of a Computerized Numerical Control (CNC) are used to demonstrate the application of the proposed method, which verifies the effectiveness and applicability of the method.
出处
《吉林大学学报(工学版)》
EI
CAS
CSCD
北大核心
2014年第1期101-105,共5页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金项目(51175222)
关键词
机床
平均秩次法
截尾数据
串联系统
可靠性建模
威布尔分布
machine tool
average rank time method
censoring data
series system
reliability modeling
Weibull distribution