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Alternative TitleHolospectrum series similarity matching for rotating machinery fault diagnosis
吴薇; 胡静涛
Source Publication仪器仪表学报
Indexed ByEI ; CSCD
EI Accession number20091812064088
Contribution Rank1
Funding Organization国家863/CIMS主题(2003AA414210);;沈阳市科技计划(1053084-2-02)资助项目
Keyword全息序列 故障诊断 多维时间序列 相似性匹配
Other AbstractLow resolution limits the quality and automation level of holospectrum technique in machinery diagnosis.To remedy this program,the basic definitions and methods of time series similarity matching are applied to the fault diagnosis,and combined with the idea of information fusion analysis for the rotating machinery of holospectrum technique.The holospectrum series and its similarity measurement model are defined.Pseudo multidimensional time series is used to express the rotation panorama of the rotator system,and the holospectrum series similarity matching algorithm based on the searching strategy of the combination of the weaker triangle inequality and the B+ searching tree is used to achieve the fault diagnosis for the rotating machine.Experimental results show that the method proposed above can effectively achieve high quality automatic fault identification and classification.
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Document Type期刊论文
Corresponding Author吴薇
Recommended Citation
GB/T 7714
吴薇,胡静涛. 旋转机械全息序列相似性匹配故障诊断方法[J]. 仪器仪表学报,2009,30(3):536-541.
APA 吴薇,&胡静涛.(2009).旋转机械全息序列相似性匹配故障诊断方法.仪器仪表学报,30(3),536-541.
MLA 吴薇,et al."旋转机械全息序列相似性匹配故障诊断方法".仪器仪表学报 30.3(2009):536-541.
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