| 基于图像处理与神经网络的内燃机故障诊断研究 |
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| 引用本文： | 夏勇,张振仁,商斌梁,郭明芳,张毅.基于图像处理与神经网络的内燃机故障诊断研究[J].内燃机学报,2001,19(4):356-360. |
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| 作者姓名： | 夏勇 张振仁 商斌梁 郭明芳 张毅 |
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| 作者单位： | 第二炮兵工程学院研究生二队, |
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| 摘 要： | 在提出应用图像处理进行故障诊断的基础上，探讨了利用内燃机振动信号产生图像的方法。在对振动信号进行重抽样处理的基础上，实现了振动信号的灰度图像表示，从缸盖振动信号的灰度图像中提取图像特征并对图像特征进行模糊化处理，设计神经网络分类器，实现了对气阀机构故障的诊断与分类。
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| 关 键 词： | 神经网络 图像处理 内燃机 振动 故障诊断 |
| 文章编号： | 1000-0909(2001)04-0356-05 |
| 修稿时间： | 2000年6月30日 |
Fault Diagnosis for ICE Based on Image Processing and Neural Networks |
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| XIA Yong,ZHANG Zhen-ren,SHANG Bin-liang,GUO Ming-fang,ZHANG Yi.Fault Diagnosis for ICE Based on Image Processing and Neural Networks[J].Transactions of Csice,2001,19(4):356-360. |
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| Authors: | XIA Yong ZHANG Zhen-ren SHANG Bin-liang GUO Ming-fang ZHANG Yi |
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| Abstract: | The fault diagnosis method based on image processing is presented.The approach of engendering image from the cylinder head vibration signal is investigated in detail.By re-sampling the vibration signals,the vibration signals were denoted by gray images.The texture features of gray images and features of grey histogram were extracted.With these parameters fuzzied,a BP neural network designed as a classifier can carry out fault diagnosis for the valve train effectively. |
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| Keywords: | Neural networks Image processing Internal combustion engines Vibration Fault diagnosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
