摘要
以采集的5台国产某型号数控机床1a的现场故障数据为基础,通过参数估计、线性相关性检验和假设检验确定故障过程服从二参数威布尔分布;在有效性最大原则的基础上,提出一种在修复型维修状态下的最佳预防维修间隔时间模型,并求得此型号数控机床的最佳预防维修间隔时间;最后根据机床的最佳预防维修间隔时间建立相应的维修计划,最大限度保证了机床的使用性能并减少企业维修费用。
On the basis of failure data gathered from 5 NC machine tools of one type in one year,a two- parameter Weibull distribution model is established, and this model has passed linear correlation test and hypothesis testing. On the principle of the most effectiveness, the best preventive maintenance intervals model on the state of reparative maintenance is brought forward, and the best preventive maintenance intervals of this type have been calculated. In the end, an appropriate maintenance plan is brought forward according to the best preventive maintenance intervals,and the maintenance cost is greatly reduced and the availability of this type of NC machine tool are kept at the same time.
出处
《重庆大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2012年第1期7-10,共4页
Journal of Chongqing University
基金
'高档数控机床与基础制造装备'科技重大专项(2010ZX04014-011)
吉林大学科学前沿与交叉学科创新项目(200903165)
关键词
可靠性
威布尔分布
预防维修
有效度
reliability
Weibull distribution
preventive maintenance
validity