| 基于小波变换的柴油机故障智能检测新方法 |
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| 引用本文： | 姜巍,张卫宁.基于小波变换的柴油机故障智能检测新方法[J].控制工程,2005,12(3):277-280. |
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| 作者姓名： | 姜巍 张卫宁 |
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| 作者单位： | 山东大学,信息科学与工程学院,山东,济南,250100;山东大学,信息科学与工程学院,山东,济南,250100 |
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| 摘 要： | 提出了一种智能检测柴油机喷油压力信号特征点的新方法，可以对柴油机一些常见故障进行不停机的检测。通过对油压信号特征的分析，对之进行了连续小波变换，根据油压信号在不同阶段的频率特征选定相应尺度的小波系数，然后利用这些小波系数的模极小值进行特征点的检测。将现场实测信号在Madab中进行仿真，建立了喷油系统正常工作时的模板向量。实验证明该方法的准确率高，而且便于在各种数字信号处理终端中实现，是有效可行的。
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| 关 键 词： | 油压信号 连续小波变换 模极小值 特征点检测 智能故障诊断 |
| 文章编号： | 1671-7848(2005)03-0277-04 |
| 修稿时间： | 2004年6月30日 |
Intelligent Fault Detection Method for Diesel EnginesBased on Wavelet Transform |
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| JIANG Wei,ZHANG Wei-Ning.Intelligent Fault Detection Method for Diesel EnginesBased on Wavelet Transform[J].Control Engineering of China,2005,12(3):277-280. |
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| Authors: | JIANG Wei ZHANG Wei-Ning |
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| Abstract: | The feature points of diesel engine fuel injection pressure signals is introduced to detect some common faults with the engine running.Continuous wavelet transform is set to the fuel injection pressure signals.Some very scales are selected by the frequency character of the signals,and then wavelet coefficient modulus minima are used in the detection of these points.Through the Matlab simulation of experimental data,standard template vectors are built when fuel injection system running in gear.It experimentally proves that this method can get high precision.In addition,it can be implemented in many digital signal processing terminals conveniently and it is effective and feasible. |
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| Keywords: | fuel injection pressure signal continuous wavelet transform modulus minimum feature point detection intelligent fault diagnosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
