分析了系统的故障率特性，确定了系统中各部件最小维修、故障更换、机会更换、预防性更换的概率。
So the characteristics of the units failure rate are analyzed to obtain the probabilities of the minimal maintenance and probabilities of replacement due to failure, opportunistic and preventive.
计算有关分布特性参数、故障率、修复率等。为分析系统在启动状态下的可靠性提供可靠的定性和定量依据。
The distribution character parameter, the fault rate and renovation rate was counted as qualitative and quantitative evidence for reliability count method of system at starting status.
针对故障率时间序列的非线性与非平稳特性，提出一种基于支持向量经验模态分解(SVEMD)的预测方法。
A prediction method based on support vector empirical mode decomposition (SVEMD) is proposed to deal with the non-linearity and non-stationarity of failure rate data.
针对故障率时间序列的非线性与非平稳特性，提出一种基于支持向量经验模态分解(SVEMD)的预测方法。
A prediction method based on support vector empirical mode decomposition (SVEMD) is proposed to deal with the non-linearity and non-stationarity of failure rate data.
应用推荐