| Research on a Diagnosis Method Based on a Correlation Integral |
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| 作者姓名： | ZHAOHong XIAYong LIANGXiao-guo |
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| 作者单位： | [1]DepartmentofComputerScienceandEngineering,NorthwesternPolytechnicalUniversity,Xi‘an710072,P.R.China [2]The4thResearchInstituteofSecondArtilleryGroups,Beijing100085,P.R.China [3]CollegeofAstronautics,NorthwesternPolytechnicalUniversity,Xi’an710072,P.R.China |
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| 摘 要： | For the first fime,the diagnosis idea based on a correlation integral is proposed,which re-gards the correlation integral as a feature set.The correlation dimension is contained in the double-log curve of the correlation integral to scale,so extracting features directly from the correlation integral can avoid the bottleneck problem of determining the range of non-scale length.Several features extracted from the correlation integral are better than the single feature of the correlation dimension when descri-bing the signal.It is obvious that this method utilizes more information of the signal than does the cor-relation dimension.The diagnosis examples verify that this method is more accurate and more effective.
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| 关 键 词： | 诊断方法 相关积分 关联度 刻度尺 量程 |
Research on a Diagnosis Method Based on a Correlation Integral |
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| ZHAOHong XIAYong LIANGXiao-guo.Research on a Diagnosis Method Based on a Correlation Integral[J].International Journal of Plant Engineering and Management,2003,8(2):65-73. |
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| Authors: | ZHAO Hong XIA Yong LIANG Xiao-guo |
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| Abstract: | For the first time, the diagnosis idea based on a correlation integral is proposed, which regards the correlation integral as a feature set. The correlation dimension is contained in the double-log curve of the correlation integral to scale, so extracting features directly from the correlation integral can avoid the bottleneck problem of determining the range of non-scale length. Several features extracted from the correlation integral are better than the single feature of the correlation dimension when describing the signal. It is obvious that this method utilizes more information of the signal than does the correlation dimension. The diagnosis examples verify that this method is more accurate and more effective. |
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| Keywords: | Diagnosis correlation dimension correlation integral range of non-scale |
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