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旋转机械全息序列相似性匹配故障诊断方法
Alternative TitleHolospectrum series similarity matching for rotating machinery fault diagnosis
吴薇; 胡静涛
Department工业信息学研究室
Source Publication仪器仪表学报
ISSN0254-3087
2009
Volume30Issue:3Pages:536-541
Indexed ByEI ; CSCD
EI Accession number20091812064088
CSCD IDCSCD:3625920
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
Abstract针对全息诊断分辨率低影响旋转机械故障诊断质量和自动化水平的问题,将时间序列相似性匹配的基本概念和方法引入故障诊断应用中,结合全息诊断信息融合分析旋转机械振动全貌的思想,定义了全息序列及其相似性度量模型,用类时间轴上的多维序列表征转子系统振动全貌,进而利用采用近似三角不等式与B+树结合剪枝策略的全息序列相似性匹配算法实现故障诊断。实验结果表明,该方法能够实现高质量的故障自动分类识别。
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.
Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/5670
Collection工业信息学研究室
Corresponding Author吴薇
Affiliation1.中国科学院沈阳自动化研究所工业信息重点实验室
2.中国科学院研究生院
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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