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Teager energy operator for multi-modulation extraction and its application for gearbox fault detection
This paper presents a parameter-free and broadband approach to detecting gear faults based on vibration signals. The technique is implemented using the Teager energy operator (TEO). It is shown that this operator can extract amplitude, phase and frequency modulations that are associated with various...
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Published in: | Smart materials and structures 2010-07, Vol.19 (7), p.075008-075008 |
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container_title | Smart materials and structures |
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creator | Soltani Bozchalooi, I Liang, Ming |
description | This paper presents a parameter-free and broadband approach to detecting gear faults based on vibration signals. The technique is implemented using the Teager energy operator (TEO). It is shown that this operator can extract amplitude, phase and frequency modulations that are associated with various gear faults. Spectral analysis of the TEO-transformed signal provides the necessary information for fault detection. To improve the effectiveness of the proposed technique, we also devised a wavelet de-noising step based on online threshold estimation. In the de-noising step, the threshold estimation is performed through a frequency domain median absolute deviation (FMAD) scheme. The proposed fault detection technique is tested on simulated as well as experimental data acquired from a single-stage bevel gearbox and a two-stage parallel gearbox. |
doi_str_mv | 10.1088/0964-1726/19/7/075008 |
format | article |
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The technique is implemented using the Teager energy operator (TEO). It is shown that this operator can extract amplitude, phase and frequency modulations that are associated with various gear faults. Spectral analysis of the TEO-transformed signal provides the necessary information for fault detection. To improve the effectiveness of the proposed technique, we also devised a wavelet de-noising step based on online threshold estimation. In the de-noising step, the threshold estimation is performed through a frequency domain median absolute deviation (FMAD) scheme. 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The proposed fault detection technique is tested on simulated as well as experimental data acquired from a single-stage bevel gearbox and a two-stage parallel gearbox.</description><subject>Applied sciences</subject><subject>Broadband</subject><subject>Deviation</subject><subject>Drives</subject><subject>Exact sciences and technology</subject><subject>Fault detection</subject><subject>Faults</subject><subject>Gearboxes</subject><subject>Gears</subject><subject>Industrial metrology. Testing</subject><subject>Mechanical engineering. Machine design</subject><subject>Operators</subject><subject>Thresholds</subject><subject>Vibration</subject><issn>0964-1726</issn><issn>1361-665X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqNkE1LxDAQhoMouK7-BKEX8WJt0rRJc5TFL1jwsoK3MM3HUmmbmrSw--9tt4sXPXgYZmCeZwZehK4Jvie4KBIsWBYTnrKEiIQnmOcYFydoQSgjMWP5xyla_DDn6CKET4wJKShZILsxsDU-Mq3x233kOuOhdz6yYzVD3Vdx4_RQQ1-5NjK73oM6jNDqqOpDBF1XV2peT87WgC_dLrIwypE2vTnwl-jMQh3M1bEv0fvT42b1Eq_fnl9XD-tYUUH7mAooaMmMKHTGich4iVWapZnVqWUZCMaFAkJ4yRhLaao1FkqzkgrBrbEAdIlu57udd1-DCb1sqqBMXUNr3BBkkedMcDo-W6J8JpV3IXhjZeerBvxeEiynWOUUmZwik0RILudYR-_m-AGCgtp6aFUVfuQ0FQXBjI0cnrnKdf8-ffdb-ROVnbb0G-q9lYA</recordid><startdate>20100701</startdate><enddate>20100701</enddate><creator>Soltani Bozchalooi, I</creator><creator>Liang, Ming</creator><general>IOP Publishing</general><general>Institute of Physics</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7TB</scope><scope>8BQ</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>KR7</scope></search><sort><creationdate>20100701</creationdate><title>Teager energy operator for multi-modulation extraction and its application for gearbox fault detection</title><author>Soltani Bozchalooi, I ; Liang, Ming</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c393t-39a83b6e98d471947b0c2424fd2f64a9679ca117b666232dd09cd6b3997fefaa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Applied sciences</topic><topic>Broadband</topic><topic>Deviation</topic><topic>Drives</topic><topic>Exact sciences and technology</topic><topic>Fault detection</topic><topic>Faults</topic><topic>Gearboxes</topic><topic>Gears</topic><topic>Industrial metrology. 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Machine design</topic><topic>Operators</topic><topic>Thresholds</topic><topic>Vibration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Soltani Bozchalooi, I</creatorcontrib><creatorcontrib>Liang, Ming</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Smart materials and structures</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Soltani Bozchalooi, I</au><au>Liang, Ming</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Teager energy operator for multi-modulation extraction and its application for gearbox fault detection</atitle><jtitle>Smart materials and structures</jtitle><date>2010-07-01</date><risdate>2010</risdate><volume>19</volume><issue>7</issue><spage>075008</spage><epage>075008</epage><pages>075008-075008</pages><issn>0964-1726</issn><eissn>1361-665X</eissn><abstract>This paper presents a parameter-free and broadband approach to detecting gear faults based on vibration signals. The technique is implemented using the Teager energy operator (TEO). It is shown that this operator can extract amplitude, phase and frequency modulations that are associated with various gear faults. Spectral analysis of the TEO-transformed signal provides the necessary information for fault detection. To improve the effectiveness of the proposed technique, we also devised a wavelet de-noising step based on online threshold estimation. In the de-noising step, the threshold estimation is performed through a frequency domain median absolute deviation (FMAD) scheme. The proposed fault detection technique is tested on simulated as well as experimental data acquired from a single-stage bevel gearbox and a two-stage parallel gearbox.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/0964-1726/19/7/075008</doi><tpages>1</tpages></addata></record> |
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source | Institute of Physics |
subjects | Applied sciences Broadband Deviation Drives Exact sciences and technology Fault detection Faults Gearboxes Gears Industrial metrology. Testing Mechanical engineering. Machine design Operators Thresholds Vibration |
title | Teager energy operator for multi-modulation extraction and its application for gearbox fault detection |
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