摘要
为了掌握坦克柴油机冷却系统的使用可靠性,应用随机点过程模型对使用故障数据进行分布检验,提出自适应线性神经网络与蒙特卡罗模拟验证相结合的冷却系统可靠性特征量估计方法,求出新品柴油机和大修柴油机冷却系统的使用可靠性特征量,显示出两者具有不同的分布特点和变化趋势。
tic point process system reliability In order to grasp the operation reliability of cooling system in tank model was used to verify the distribution of the failure data. A est diesel engines, a stochasimation method of aracter parameters based on adaptive neural network combined with Monte Carlo cooling simulaticn validation was proposed, and the operation reliability character parameters of the cooling system of a new diesel engine and an overhauled diesel engine were obtained.
出处
《内燃机工程》
EI
CAS
CSCD
北大核心
2007年第6期37-40,共4页
Chinese Internal Combustion Engine Engineering
关键词
内燃机
坦克柴油机
冷却系统
使用可靠性
特征量
估计
IC engine
tank diesel engine
cooling system
use reliability
character parameters
estimation
