摘要
在现场试验失效数据匮乏的新形势下,需对传统的可靠性评估方法做出变革。首先对当前无失效数据可靠性评估的相关内容进行研究;其次对煤矿机电设备的寿命分布类型进行界定,基于此建立基于贝叶斯估计的可靠性评估模型;最后是实证检验。实例表明,所建模型稳健性好,可作为煤矿企业运检、管理等层面的有效参考。
In the new situation of lacking failure data in field test,the traditional reliability evaluation method needs to be changed.First of all,the relevant contents of the current reliability evaluation of non-failure data were studied;secondly,the life distribution type of mechanical and electrical equipment in coal mine was defined,based on which the reliability evaluation model based on Bayesian estimation was established;finally,the empirical test was carried out.The example shows that the model is robust and can be used as an effective reference for the operation inspection and management of coal enterprises.
作者
郝昊
HAO Hao(Dadougou Coal Industry Co.,Ltd.,Datong Coal Mine Group,Datong 037003,Shanxi,China)
出处
《能源与节能》
2020年第3期135-137,共3页
Energy and Energy Conservation
关键词
煤矿机电设备
可靠性
贝叶斯估计
无失效数据
coal mine electrical and mechanical equipment
reliability
Bayesian estimation
non-failure data
