| 基于小波包和支持向量机的传感器故障诊断方法 |
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| 引用本文： | 冯志刚,王祁,徐涛,信太克规. 基于小波包和支持向量机的传感器故障诊断方法[J]. 南京理工大学学报(自然科学版), 2008, 32(5) |
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| 作者姓名： | 冯志刚 王祁 徐涛 信太克规 |
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| 作者单位： | 哈尔滨工业大学,电气工程及自动化学院,黑龙江,哈尔滨150001;沈阳航空工业学院,自动化学院,辽宁,沈阳,110136 |
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| 基金项目： | 国家自然科学基金(60572010) |
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| 摘 要： | 针对自确认压力传感器的故障诊断问题，提出了一种基于小波包变换和支持向量机的传感器故障诊断方法。该方法对传感器输出信号进行三层小波包分解，提取各个节点的小波包系数，对每个节点的小波包系数通过一定的削减算法增强故障特征，然后利用重构的时域信号计算各个节点的能量以及整个信号的削减比作为特征向量，以此作为输入来建立支持向量多分类机，判断传感器的故障类型。对自确认压力传感器、温度和流量传感器的故障诊断结果表明，该方法能有效地应用于传感器的故障诊断中。
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| 关 键 词： | 小波包 支持向量机 特征提取 传感器故障诊断 |
Sensor Fault Diagnosis Based on Wavelet Packet and Support Vector Machines |
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| FENG Zhi-gang,WANG Qi,XU Tao,SHIDA Katsunori. Sensor Fault Diagnosis Based on Wavelet Packet and Support Vector Machines[J]. Journal of Nanjing University of Science and Technology(Nature Science), 2008, 32(5) |
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| Authors: | FENG Zhi-gang WANG Qi XU Tao SHIDA Katsunori |
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| Affiliation: | 1.School of Electrical Engineering and Automation;Harbin Institute of Technology;Harbin 150001;China;2.Department of Automation;Shenyang Institute of Aeronautical Engineering;Shenyang 110136;China |
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| Abstract: | To solve the fault diagnosis problem of self-validating pressure sensor,a sensor fault diagnosis approach based on wavelet packet transform and support vector machines is proposed.After a three-level decomposition of wavelet packet,the coefficients of each node are achieved.With some cutting algorithm,the reconstructed signals with fault character are strengthened.The energy of each node is calculated with reconstructed signals,and the average cutting ratios of all nodes are regarded as the feature vector.T... |
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| Keywords: | wavelet packet support vector machines feature extraction sensor fault diagnosis |
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