| 基于小波包与LS-SVM的气阀故障诊断 |
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| 引用本文： | 王旭平,陈小虎,王汉功,周永涛. 基于小波包与LS-SVM的气阀故障诊断[J]. 机电工程技术, 2009, 38(5): 42-44 |
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| 作者姓名： | 王旭平 陈小虎 王汉功 周永涛 |
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| 作者单位： | 第二炮兵工程学院501教研室,陕西西安,710025;第二炮兵工程学院501教研室,陕西西安,710025;第二炮兵工程学院501教研室,陕西西安,710025;第二炮兵工程学院501教研室,陕西西安,710025 |
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| 摘 要： | 基于小波包原理，对柴油机的缸盖振动信号进行小波包分解，利用“频带能量”的特征提取方法得到特征向量，并作为LS-SVM的输入进行训练和分类检验，提出了一种基于小波包和LS—SVM的气阀故障诊断方法。结果表明不同状态下的气阀漏气故障能得到识别和分类，且具有较高的精度。
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| 关 键 词： | 气阀机构 故障诊断 小波包 LS-SVM |
Valve Train Fault Diagnosis Based on LS-SVM and Wavelet Packet |
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| WANG Xu-ping,CHEN Xiao-hu,WANG Han-gong,ZHOU Yong-tao. Valve Train Fault Diagnosis Based on LS-SVM and Wavelet Packet[J]. Mechanical & Electrical Engineering Technology, 2009, 38(5): 42-44 |
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| Authors: | WANG Xu-ping CHEN Xiao-hu WANG Han-gong ZHOU Yong-tao |
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| Abstract: | Based on the algorithm of wavelet packets, Wavelet packet decomposition is applied to the cylinder head vibration signals, feature vectors are obtained by a feature extraction method with"frequency band energy". The feature vectors are used for training and classification as the input s of LS-SVM. Hence, a new valve train fault diagnosis method based on LS-SVM and wavelet packet is established. The tests indicate that the leakage fault of exhaust valve in different conditions can be identified and classifie... |
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| Keywords: | LS-SVM |
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