| 基于J散度的模式分类方法在故障诊断中的应用 |
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| 引用本文： | 苗刚,马孝江,任全民. 基于J散度的模式分类方法在故障诊断中的应用[J]. 中国机械工程, 2007, 18(4): 431-433 |
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| 作者姓名： | 苗刚 马孝江 任全民 |
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| 作者单位： | 大连理工大学精密与特种加工教育部重点实验室,大连,116024 |
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| 摘 要： | 提出了一种基于J散度的谱系聚类算法，对不同状态下信号的AR模型进行了分类，以分类结果建立正常信号的标准样本，比较待检样本与标准样本之间J散度和设定闽值的大小，实现对待检样本的分类。将该方法应用于往复式压缩机气阀的故障诊断中，比较J散度与欧氏距离和相关系数在分类中的效果，证实了基于J散度的模式分类方法的分类结果更加准确。
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| 关 键 词： | J散度 谱系聚类法 AR模型 故障诊断 |
| 文章编号： | 1004-132X（2007）04-0431-03 |
| 修稿时间： | 2005-11-03 |
Application of Pattern Classification Method Based on J Divergence to Fault Diagnosis |
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| Miao Gang,Ma Xiaojiang,Ren Quanmin. Application of Pattern Classification Method Based on J Divergence to Fault Diagnosis[J]. China Mechanical Engineering, 2007, 18(4): 431-433 |
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| Authors: | Miao Gang Ma Xiaojiang Ren Quanmin |
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| Affiliation: | Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian, Liaoning, 116024 |
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| Abstract: | J divergence was calculated as the measure of Hierarchical Clustering Method and it was applied to the classification of the AR model of the signals acquired from the different working conditions. The standard AR model was build up based on the classification results. Then the method was applied to the fault diagnosis of the reciprocation compressor valve. Compared with other measures, J divergence is proved to be more effective. |
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| Keywords: | J divergence hierarchical clustering method AR model fault diagnosis |
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