| 基于粗糙集理论的柴油机燃油系统故障诊断研究 |
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| 引用本文： | 戴赟,卜锋斌,毛函晔.基于粗糙集理论的柴油机燃油系统故障诊断研究[J].机电设备,2007,24(8):25-28,17. |
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| 作者姓名： | 戴赟 卜锋斌 毛函晔 |
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| 作者单位： | 1. 中国船舶重工集团公司,第704研究所,上海,200031
2. 海军驻上海704所军代表室,上海,200031 |
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| 摘 要： | 针对柴油机燃油系统的故障种类多的特点利用小波方法对燃油波形进行分析,提取时域及频域的故障特征参数,并使用粗糙集理论对这些故障特征参数进行约简,达到简化故障识别的神经网络的结构、加快辨识速度的目的.最后用RBF神经网络对所模拟的各类故障进行辨识,证实了粗糙集理论在柴油机燃油系统故障诊断中应用的可行性.
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| 关 键 词： | 柴油机 燃油系统 故障诊断 粗糙集理论 小波分析 自组织竞争神经网络 粗糙集理论 柴油机 燃油系统 系统故障 诊断研究 rough sets theory based injection system diesel engine study diagnosis 应用的可行性 故障诊断 类故障 模拟 速度 辨识 结构 神经网络 故障识别 |
| 文章编号： | 1005-8354（2007）08-0025-04 |
| 修稿时间： | 2007-08-07 |
Fault diagnosis study of diesel engine injection system based on rough sets theory |
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| DAI Yun,BU Feng-bin,MAO Han-ye.Fault diagnosis study of diesel engine injection system based on rough sets theory[J].Mechanical and Electrical Equipment,2007,24(8):25-28,17. |
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| Authors: | DAI Yun BU Feng-bin MAO Han-ye |
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| Institution: | 1. NO. 704 Research Institute, CSIC, Shanghai 200031, China; 2. Navy Representative Section Stationed at No. 704 research Institute, CSIC, Shanghai 200031, China |
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| Abstract: | In view of many kinds of faults of diesel engine fuel injection system, this paper analyzed the fuel pressure wave shape using wavelet theory, picked up the typical fault parameters in both time domain and frequency domain and used rough sets theory to reduce them so as to simplify the neural network structure of fault identification and speed the rate of identification, finally used RBF neural networks to identify all kinds of faults simulated here. The results have shown that it would be feasible to apply the theory in the fault diagnoses of diesel engine fuel injection system. |
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| Keywords: | diesel engines fuel injection fault diagnosis rough sets wavelet analysis self-organizing competition neural networks |
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