| 基于小波包Shannon熵与GA-SVM的船舶轴系故障诊断方法 |
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| 引用本文： | 汪 明 胡海刚 张 刚 周 昕.基于小波包Shannon熵与GA-SVM的船舶轴系故障诊断方法[J].宁波大学学报(理工版),2015,0(4):124-128. |
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| 作者姓名： | 汪 明 胡海刚 张 刚 周 昕 |
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| 作者单位： | 宁波大学 海运学院, 浙江 宁波 315211 |
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| 摘 要： | 针对船舶推进轴系的振动问题, 基于小波包、Shannon熵、遗传算法(GA)和支持向量机(SVM)理论, 提出了一种船舶轴系故障诊断的新方法, 简称WPS-GS方法. 该方法依托船舶螺旋桨状态监测模拟实验平台, 利用小波包分解技术分析船舶轴系发生故障时的振动信号, 将其Shannon熵作为SVM的输入特征向量. 在训练SVM时, 采用遗传算法对SVM的参数进行全局寻优, 使SVM具有更高的识别准确率. 实验结果表明, WPS-GS方法对故障诊断的准确度和识别率较传统SVM和交叉验证SVM方法高, 适用于船舶轴系故障诊断.
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| 关 键 词： | 船舶轴系 故障诊断 遗传算法 支持向量机 |
Fault Diagnosis Methods of Ship Shafting Based on Wavelet Packet,Shannon Entropy,GA and SVM |
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| WANG Ming,HU Hai-gang,ZHANG Gang,ZHOU Xin.Fault Diagnosis Methods of Ship Shafting Based on Wavelet Packet,Shannon Entropy,GA and SVM[J].Journal of Ningbo University(Natural Science and Engineering Edition),2015,0(4):124-128. |
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| Authors: | WANG Ming HU Hai-gang ZHANG Gang ZHOU Xin |
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| Affiliation: | Faculty of Maritime, Ningbo University, Ningbo 315211, China |
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| Abstract: | Aiming at the vibration problems of the ship propulsion shafting, a new method of fault diagnosis, which is based on the theory of wavelet packet (wavelet packet), Shannon entropy, genetic algorithm (GA) and support vector machine (SVM), is proposed, and referred to as WPS-GS method in this paper. For the simulation of platform ship propeller shafting, the wavelet packet decomposition and strong fault-tolerant Shannon entropy are jointly used to compute the feature vectors of vibration signals which are served as the input vectors of SVM; GA is adopted to optimize the parameters of SVM for achieving the higher veracity. The simulation results show that the WPS-GS method can attain higher reliability and veracity than the conventional SVM and K-CV SVM, which suggests that the proposed method is more suitable for the condition monitoring and fault diagnosis of rotating shaft system. |
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| Keywords: | ship shafting fault diagnosis genetic algorithm support vector machine |
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