| 基于神经网络和D-S证据理论的柴油机状态评估 |
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| 引用本文： | 刘伯运,欧阳光耀,常汉宝. 基于神经网络和D-S证据理论的柴油机状态评估[J]. 车用发动机, 2005, 0(5): 14-17 |
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| 作者姓名： | 刘伯运 欧阳光耀 常汉宝 |
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| 作者单位： | 海军工程大学动力工程学院,湖北,武汉,430033;海军工程大学动力工程学院,湖北,武汉,430033;海军工程大学动力工程学院,湖北,武汉,430033 |
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| 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。
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| 关 键 词： | 柴油机 神经网络 证据理论 状态评估 |
| 文章编号： | 1001-2222(2005)05-0014-04 |
| 收稿时间： | 2005-04-25 |
| 修稿时间： | 2005-07-16 |
Diesel Engine Condition Assessment Based on Neural Network and D-S Evidence Theory |
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| LIU Bo-yun,OUYANG Guang-yao,CHANG Han-bao. Diesel Engine Condition Assessment Based on Neural Network and D-S Evidence Theory[J]. Vehicle Engine, 2005, 0(5): 14-17 |
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| Authors: | LIU Bo-yun OUYANG Guang-yao CHANG Han-bao |
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| Affiliation: | Power Eng. College, Naval Univ. of Engineering, Wuhan 430033, China |
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| Abstract: | 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. |
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| Keywords: | diesel engine neural network evidence theory condition assessment |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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