基于参量优化的多变量相空间重构方法
Combined with meliorated wavelet packet algorithm,an algorithm of phase space reconstruction of multivariate data based on parameter optimization is proposed to cope with the faultiness of phase space reconstruction from univariate time series,which adopted the nearest neighbor divergence to ensure...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2013-01-01
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| Series: | Jixie chuandong |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2013.06.007 |
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| _version_ | 1850154186767859712 |
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| author | 刘岩 王金东 郭建华 李西兵 |
| author_facet | 刘岩 王金东 郭建华 李西兵 |
| author_sort | 刘岩 |
| collection | DOAJ |
| description | Combined with meliorated wavelet packet algorithm,an algorithm of phase space reconstruction of multivariate data based on parameter optimization is proposed to cope with the faultiness of phase space reconstruction from univariate time series,which adopted the nearest neighbor divergence to ensure embedding dimension and the incorporation technology of self-interrelated function and pseudo-phase portrait to ensure time delay.Then the algorithm is applied to extract fault syndrome of indiscernibly of BW350 mud pump.The result shows that the fault eigenvalue achieved with the proposed method is uniform.It has practical value in fault judgment of difficult to identify bearing shell and joint cross. |
| format | Article |
| id | doaj-art-cb0bc901b2d24d97b07121ffe89463f4 |
| institution | OA Journals |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2013-01-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-cb0bc901b2d24d97b07121ffe89463f42025-08-20T02:25:26ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392013-01-01375788647561基于参量优化的多变量相空间重构方法刘岩王金东郭建华李西兵Combined with meliorated wavelet packet algorithm,an algorithm of phase space reconstruction of multivariate data based on parameter optimization is proposed to cope with the faultiness of phase space reconstruction from univariate time series,which adopted the nearest neighbor divergence to ensure embedding dimension and the incorporation technology of self-interrelated function and pseudo-phase portrait to ensure time delay.Then the algorithm is applied to extract fault syndrome of indiscernibly of BW350 mud pump.The result shows that the fault eigenvalue achieved with the proposed method is uniform.It has practical value in fault judgment of difficult to identify bearing shell and joint cross.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2013.06.007 |
| spellingShingle | 刘岩 王金东 郭建华 李西兵 基于参量优化的多变量相空间重构方法 Jixie chuandong |
| title | 基于参量优化的多变量相空间重构方法 |
| title_full | 基于参量优化的多变量相空间重构方法 |
| title_fullStr | 基于参量优化的多变量相空间重构方法 |
| title_full_unstemmed | 基于参量优化的多变量相空间重构方法 |
| title_short | 基于参量优化的多变量相空间重构方法 |
| title_sort | 基于参量优化的多变量相空间重构方法 |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2013.06.007 |
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