| 层次支持向量机在数字电路故障诊断中的应用 |
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| 引用本文： | 张岐龙,单甘霖,张子宁,刘东平. 层次支持向量机在数字电路故障诊断中的应用[J]. 电光与控制, 2011, 18(2): 89-92,96 |
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| 作者姓名： | 张岐龙 单甘霖 张子宁 刘东平 |
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| 作者单位： | 军械工程学院,石家庄,050003 |
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| 摘 要： | 针对在数字电路故障诊断过程中存在的样本不平衡度严重的问题,采用层次式支持向量机实现对其故障诊断,通过考虑各类样本的数据量来构造以支持向量为叶节点的树,该方法可有效地解决样本不平衡所带来的问题,同时能够减少计算SVM分类器的个数,提高了训练和诊断速度及准确率.针对故障样本集不可能覆盖所有故障状态而出现的未知故障状态的问题...
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| 关 键 词： | 数字电路 故障诊断 层次式支持向量机 未知故障 |
Hierarchical Support Vector Machine and Its Application in Fault Diagnosis of Digital Circuit |
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| ZHANG Qilong,SHAN Ganlin,ZHANG Zining,LIU Dongping. Hierarchical Support Vector Machine and Its Application in Fault Diagnosis of Digital Circuit[J]. Electronics Optics & Control, 2011, 18(2): 89-92,96 |
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| Authors: | ZHANG Qilong SHAN Ganlin ZHANG Zining LIU Dongping |
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| Affiliation: | ZHANG Qilong,SHAN Ganlin,ZHANG Zining,LIU Dongping(Ordnance Engineering College,Shijiazhuang 050003,China) |
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| Abstract: | Considering the problems as unbalance training data and fault classifier extension in fault diagnosis of digital circuit,a new method was proposed and verified for the fault diagnosis.Firstly,exhaustive method was used to stimulus the circuits,and the samples of normal state and fault states were obtained after preprocessing.The hierarchical Support Vector Machine(SVM) using the length of samples as criterion was adopted to diagnose the faults of digital circuits.It can alleviate the problems brought by the... |
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| Keywords: | digital circuit fault diagnosis hierarchical support vector machine unknown fault |
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