Diagnosis of subharmonic faults of large rotating machinery based on EMD
The vibration signals always carry the abundant dynamic information of a machine and are very useful for the feature extraction and fault diagnosis. In practice, most subharmonic signals have a close relationship to time variables and can manifest large amplitude fluctuation, transient vibration, or...
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| Veröffentlicht in: | Mechanical systems and signal processing 2009-02, Vol.23 (2), p.467-475 |
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| container_title | Mechanical systems and signal processing |
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| creator | Wu, Fangji Qu, Liangsheng |
| description | The vibration signals always carry the abundant dynamic information of a machine and are very useful for the feature extraction and fault diagnosis. In practice, most subharmonic signals have a close relationship to time variables and can manifest large amplitude fluctuation, transient vibration, or modulation signals in time domain. In view of this, this paper describes an effective method to search the features of subharmonic faults of large rotating machinery based on empirical mode decomposition (EMD). Case study on some actual vibration signals of machine parts shows that EMD is an adaptive and unsupervised method in feature extraction and it provides an attractive alternative to the traditional diagnostic methods. |
| doi_str_mv | 10.1016/j.ymssp.2008.03.007 |
| format | Article |
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Testing</subject><subject>Information, signal and communications theory</subject><subject>Large rotating machinery</subject><subject>Mechanical engineering. Machine design</subject><subject>Physics</subject><subject>Signal and communications theory</subject><subject>Solid mechanics</subject><subject>Structural and continuum mechanics</subject><subject>Subharmonic faults</subject><subject>Telecommunications and information theory</subject><subject>Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...)</subject><issn>0888-3270</issn><issn>1096-1216</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNp9kD1PwzAQhi0EEuXjF7BkgS3hHMdOPDAgvooEYoHZcpxL6yqJiy9F6r8ntIiR6aTT897Hw9gFh4wDV9erbNsTrbMcoMpAZADlAZtx0CrlOVeHbAZVVaUiL-GYnRCtAEAXoGZsfu_tYgjkKQltQpt6aWMfBu-S1m66cdftbFxgEsNoRz8skt66pR8wbpPaEjZJGJKH1_szdtTajvD8t56yj8eH97t5-vL29Hx3-5I6oYoxrZ3AQtVaVZJbZZVqUAuhZdtiJaWSUBel5FzmnAuAtqgxB6UF101ZWq0bccqu9nPXMXxukEbTe3LYdXbAsCEjpBCiqooJFHvQxUAUsTXr6Hsbt4aD-bFmVmZnzfxYMyDMZG1KXf6Ot-Rs10Y7OE9_0Xy6Ssodd7PncPr1y2M05DwODhsf0Y2mCf7fPd9Pw4Ky</recordid><startdate>20090201</startdate><enddate>20090201</enddate><creator>Wu, Fangji</creator><creator>Qu, Liangsheng</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20090201</creationdate><title>Diagnosis of subharmonic faults of large rotating machinery based on EMD</title><author>Wu, Fangji ; Qu, Liangsheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-bc3e46b96851a6a66de93395ffe855650b475115211300f4be2069319d77a99d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Applied sciences</topic><topic>Empirical mode decomposition</topic><topic>Exact sciences and technology</topic><topic>Fault diagnosis</topic><topic>Fundamental areas of phenomenology (including applications)</topic><topic>Industrial metrology. Testing</topic><topic>Information, signal and communications theory</topic><topic>Large rotating machinery</topic><topic>Mechanical engineering. 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| ispartof | Mechanical systems and signal processing, 2009-02, Vol.23 (2), p.467-475 |
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| language | eng |
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| source | Elsevier ScienceDirect Journals |
| subjects | Applied sciences Empirical mode decomposition Exact sciences and technology Fault diagnosis Fundamental areas of phenomenology (including applications) Industrial metrology. Testing Information, signal and communications theory Large rotating machinery Mechanical engineering. Machine design Physics Signal and communications theory Solid mechanics Structural and continuum mechanics Subharmonic faults Telecommunications and information theory Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...) |
| title | Diagnosis of subharmonic faults of large rotating machinery based on EMD |
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