| 基于多参数特征计算柴油机使用时间的方法研究 |
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| 引用本文： | 刘建敏,乔新勇,安钢.基于多参数特征计算柴油机使用时间的方法研究[J].内燃机学报,2004,22(4):379-383. |
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| 作者姓名： | 刘建敏 乔新勇 安钢 |
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| 作者单位： | 装甲兵工程学院,机械工程系,北京,100072 |
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| 摘 要： | 柴油机的使用时间在一定程度上可反映其技术状况。根据现行的维修制度，使用时间是决定柴油机是否送修的主要依据。作者对不同使用时间的车用柴油机进行了实车测试，测取了表征柴油机技术状况的特征参数。在此基础上，利用人工神经网络模型对柴油机的使用时间进行计算。结果表明，该方法可以实现对柴油机使用时间的无损检测。
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| 关 键 词： | 柴油机 使用时间 无损检测 神经网络 多参数特征 |
| 文章编号： | 1000-0909(2004)04-0379-05 |
| 修稿时间： | 2003年10月18 |
Study on the Method for Testing of the Diesel Working Time Based on Multi-Characteristics |
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| LIU Jian-min,QIAO Xin-yong,AN Gang.Study on the Method for Testing of the Diesel Working Time Based on Multi-Characteristics[J].Transactions of Csice,2004,22(4):379-383. |
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| Authors: | LIU Jian-min QIAO Xin-yong AN Gang |
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| Abstract: | The working time of diesel engine can reflect its technical state on certain degree. Based on the current repairing system, the working times decides the diesel engine whether it should be repaired or not. This paper tested the diesels engine for different working time, and measured the characteristic parameters that reflect the technical states of the diesel on-board. Based on this, paper used a neural network model to measure the working time of the diesel engine. The result showed that this method could realize the nondestructive detecting of the working time diesel of diesel engine. |
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| Keywords: | Diesel Working time Nondestructive testing Neural network |
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