An improved method for restraining the end effect in empirical mode decomposition and its applications to the fault diagnosis of large rotating machinery
The purpose of this paper is to introduce an improved slope-based method (ISBM) to restrain the end effect in empirical mode decomposition (EMD). With this method, non-stationary, nonlinear time series can be decomposed efficiently and accurately into a set of intrinsic mode functions (IMFs) and a r...
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| Veröffentlicht in: | Journal of sound and vibration 2008-07, Vol.314 (3), p.586-602 |
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| container_title | Journal of sound and vibration |
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| creator | Wu, Fangji Qu, Liangsheng |
| description | The purpose of this paper is to introduce an improved slope-based method (ISBM) to restrain the end effect in empirical mode decomposition (EMD). With this method, non-stationary, nonlinear time series can be decomposed efficiently and accurately into a set of intrinsic mode functions (IMFs) and a residual trend. Furthermore, due to its robust end effect restraint ability, the ISBM provides an attractive alternative to the traditional end condition methods. For the purpose of mechanical fault diagnosis, the IMFs derived from the improved EMD are then used to extract the features of faults and remove the interference from environmental noise and some irrelevant components. Industrial case studies on large rotating machinery show that IMF derived from improved EMD is relatively easy to understand and especially useful for analysis of non-stationary, nonlinear time series. |
| doi_str_mv | 10.1016/j.jsv.2008.01.020 |
| format | Article |
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With this method, non-stationary, nonlinear time series can be decomposed efficiently and accurately into a set of intrinsic mode functions (IMFs) and a residual trend. Furthermore, due to its robust end effect restraint ability, the ISBM provides an attractive alternative to the traditional end condition methods. For the purpose of mechanical fault diagnosis, the IMFs derived from the improved EMD are then used to extract the features of faults and remove the interference from environmental noise and some irrelevant components. Industrial case studies on large rotating machinery show that IMF derived from improved EMD is relatively easy to understand and especially useful for analysis of non-stationary, nonlinear time series.</description><identifier>ISSN: 0022-460X</identifier><identifier>EISSN: 1095-8568</identifier><identifier>DOI: 10.1016/j.jsv.2008.01.020</identifier><identifier>CODEN: JSVIAG</identifier><language>eng</language><publisher>London: Elsevier Ltd</publisher><subject>Applied sciences ; Constraining ; Decomposition ; Empirical analysis ; Exact sciences and technology ; Fault diagnosis ; Industrial metrology. Testing ; Information, signal and communications theory ; Mechanical engineering. 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With this method, non-stationary, nonlinear time series can be decomposed efficiently and accurately into a set of intrinsic mode functions (IMFs) and a residual trend. Furthermore, due to its robust end effect restraint ability, the ISBM provides an attractive alternative to the traditional end condition methods. For the purpose of mechanical fault diagnosis, the IMFs derived from the improved EMD are then used to extract the features of faults and remove the interference from environmental noise and some irrelevant components. Industrial case studies on large rotating machinery show that IMF derived from improved EMD is relatively easy to understand and especially useful for analysis of non-stationary, nonlinear time series.</description><subject>Applied sciences</subject><subject>Constraining</subject><subject>Decomposition</subject><subject>Empirical analysis</subject><subject>Exact sciences and technology</subject><subject>Fault diagnosis</subject><subject>Industrial metrology. Testing</subject><subject>Information, signal and communications theory</subject><subject>Mechanical engineering. Machine design</subject><subject>Nonlinearity</subject><subject>Rotating machinery</subject><subject>Signal and communications theory</subject><subject>Telecommunications and information theory</subject><subject>Time series</subject><subject>Vibration</subject><issn>0022-460X</issn><issn>1095-8568</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNqFkc-KFDEQhxtRcFx9AG-5KF66raQzSRpPy7L-gQUvCt5CTCozGbqTNskM7KP4tmacxeN6Kkh99StSX9e9pjBQoOL9YTiU08AA1AB0AAZPug2FadurrVBPuw0AYz0X8ON596KUAwBMfOSb7vd1JGFZczqhIwvWfXLEp0wylppNiCHuSN0jwegIeo-2khAJLmvIwZqZLMkhcWjTsqYSakiRmIaGWohZ17kx57dCavob481xrsQFs4sNLyR5Mpu8Q5JTbWRbthi7DxHz_cvumTdzwVcP9ar7_vH2283n_u7rpy8313e95YzX3rhxdFxIt_VsVB6McV5w-VNZQdUEnnLqrGsNBSiN44wpJgUYz7dUGGHHq-7tJbcd4dexfVsvoVicZxMxHYsex1FJKacGvnsUpFIwSkcp-f9RUIwB43BOpRfU5lRKRq_XHBaT7xukz2r1QTe1-qxWA9VNbZt58xBvSpPgs4k2lH-DjeAT5aJxHy4ctvudAmZdbMBo0YXcTGqXwiNb_gAt1Lug</recordid><startdate>20080722</startdate><enddate>20080722</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>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20080722</creationdate><title>An improved method for restraining the end effect in empirical mode decomposition and its applications to the fault diagnosis of large rotating machinery</title><author>Wu, Fangji ; Qu, Liangsheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c424t-ad33d467d5f238f0aadf647b8c61890f141dcd8f080e7ad42282760af4516a6c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Applied sciences</topic><topic>Constraining</topic><topic>Decomposition</topic><topic>Empirical analysis</topic><topic>Exact sciences and technology</topic><topic>Fault diagnosis</topic><topic>Industrial metrology. Testing</topic><topic>Information, signal and communications theory</topic><topic>Mechanical engineering. Machine design</topic><topic>Nonlinearity</topic><topic>Rotating machinery</topic><topic>Signal and communications theory</topic><topic>Telecommunications and information theory</topic><topic>Time series</topic><topic>Vibration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Fangji</creatorcontrib><creatorcontrib>Qu, Liangsheng</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of sound and vibration</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Fangji</au><au>Qu, Liangsheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An improved method for restraining the end effect in empirical mode decomposition and its applications to the fault diagnosis of large rotating machinery</atitle><jtitle>Journal of sound and vibration</jtitle><date>2008-07-22</date><risdate>2008</risdate><volume>314</volume><issue>3</issue><spage>586</spage><epage>602</epage><pages>586-602</pages><issn>0022-460X</issn><eissn>1095-8568</eissn><coden>JSVIAG</coden><abstract>The purpose of this paper is to introduce an improved slope-based method (ISBM) to restrain the end effect in empirical mode decomposition (EMD). 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| ispartof | Journal of sound and vibration, 2008-07, Vol.314 (3), p.586-602 |
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| language | eng |
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| source | Elsevier ScienceDirect Journals Complete |
| subjects | Applied sciences Constraining Decomposition Empirical analysis Exact sciences and technology Fault diagnosis Industrial metrology. Testing Information, signal and communications theory Mechanical engineering. Machine design Nonlinearity Rotating machinery Signal and communications theory Telecommunications and information theory Time series Vibration |
| title | An improved method for restraining the end effect in empirical mode decomposition and its applications to the fault diagnosis of large rotating machinery |
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