摘要
提出了一个柴油机状态评估模型,运用油液分析、振动分析和热力性能参数并根据专家知识分别构建子神经网络对柴油机进行状态评估,各部分的评估结果运用D-S证据理论进行融合判断,得到的融合决策评估结果表明,该方法逻辑清晰,评估结果符合实际。
A condition assessment model is brought forward in the paper. The parameters of lubricating oil quality, vibration analyse, performance and the expert knowledge is used to construct the sub neural network respectively. With the evidence theory, the output of each neural network is fused, and the decision-making result received. It is showed that this method has a clear logic, and the assessment result accord with practicality.
出处
《车用发动机》
北大核心
2005年第5期14-17,共4页
Vehicle Engine
关键词
柴油机
神经网络
证据理论
状态评估
diesel engine
neural network
evidence theory
condition assessment
