A study of acoustic emission technique on incipient detection of rotating machine faults
Detection of abnormalities and defects in rotating machinery at incipient stages is of prime importance for industrial plants and equipment. It avoids the occurrence of unplanned down time of the machinery that causes serious damage and costly downtime. Several condition monitoring techniques have b...
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| creator | Elmaleeh, M.A.A. Bin Saad, N. |
| description | Detection of abnormalities and defects in rotating machinery at incipient stages is of prime importance for industrial plants and equipment. It avoids the occurrence of unplanned down time of the machinery that causes serious damage and costly downtime. Several condition monitoring techniques have been applied to rotating machinery in order to improve the plant reliability and reduce the downtime. This paper aims to investigate the effectiveness of Acoustic Emission (AE) system for incipient detection of faults related to rotating machinery. A system that is developed to provide a test-bed for this concept is described. A real time AE measurement system is developed and tested. The acquired AE signatures are processed and analyzed using LABVIEW. Time and frequency domain analysis are performed to identify the exact faults in the machinery. |
| doi_str_mv | 10.1109/ICARCV.2008.4795831 |
| format | Conference Proceeding |
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It avoids the occurrence of unplanned down time of the machinery that causes serious damage and costly downtime. Several condition monitoring techniques have been applied to rotating machinery in order to improve the plant reliability and reduce the downtime. This paper aims to investigate the effectiveness of Acoustic Emission (AE) system for incipient detection of faults related to rotating machinery. A system that is developed to provide a test-bed for this concept is described. A real time AE measurement system is developed and tested. The acquired AE signatures are processed and analyzed using LABVIEW. 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It avoids the occurrence of unplanned down time of the machinery that causes serious damage and costly downtime. Several condition monitoring techniques have been applied to rotating machinery in order to improve the plant reliability and reduce the downtime. This paper aims to investigate the effectiveness of Acoustic Emission (AE) system for incipient detection of faults related to rotating machinery. A system that is developed to provide a test-bed for this concept is described. A real time AE measurement system is developed and tested. The acquired AE signatures are processed and analyzed using LABVIEW. Time and frequency domain analysis are performed to identify the exact faults in the machinery.</description><subject>Acoustic emission</subject><subject>Acoustic signal detection</subject><subject>Acoustic testing</subject><subject>Condition monitoring</subject><subject>Fault detection</subject><subject>frequency domain</subject><subject>Industrial plants</subject><subject>LabVIEW</subject><subject>Machinery</subject><subject>Real time systems</subject><subject>Rotating machinery</subject><subject>Rotating machines</subject><subject>System testing</subject><subject>time domain</subject><isbn>9781424422869</isbn><isbn>1424422868</isbn><isbn>1424422876</isbn><isbn>9781424422876</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1UMtqwzAQVCmBNqm_IBf9gF29rMcxhD4CgUJpS29BllaNSmynlnzI39eh6V6WYWaWnUFoSUlFKTH3m_Xqdf1RMUJ0JZSpNadXaE4FE4IxreQ1KozS_1iaGZqftYYwysUNKlL6JtOImmtqbtHnCqc8-hPuA7auH1OODkMbU4p9hzO4fRd_RsATiJ2Lxwhdxh4mIp8Fk2vos82x-8KtdfvYAQ52POR0h2bBHhIUl71A748Pb-vncvvyNGXYlpGqOpfGklraoCTl3ilJGpAwfQuBUKa4DoLzWggaFOG6qQMwYbxsjAfvTaDc8QVa_t2NALA7DrG1w2l3aYb_AtI4Vkw</recordid><startdate>200812</startdate><enddate>200812</enddate><creator>Elmaleeh, M.A.A.</creator><creator>Bin Saad, N.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200812</creationdate><title>A study of acoustic emission technique on incipient detection of rotating machine faults</title><author>Elmaleeh, M.A.A. ; Bin Saad, N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-9a056af7613dc760be6e089ef012738f4335441f7038b5fe249d6b9dedd9f13c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Acoustic emission</topic><topic>Acoustic signal detection</topic><topic>Acoustic testing</topic><topic>Condition monitoring</topic><topic>Fault detection</topic><topic>frequency domain</topic><topic>Industrial plants</topic><topic>LabVIEW</topic><topic>Machinery</topic><topic>Real time systems</topic><topic>Rotating machinery</topic><topic>Rotating machines</topic><topic>System testing</topic><topic>time domain</topic><toplevel>online_resources</toplevel><creatorcontrib>Elmaleeh, M.A.A.</creatorcontrib><creatorcontrib>Bin Saad, N.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Elmaleeh, M.A.A.</au><au>Bin Saad, N.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A study of acoustic emission technique on incipient detection of rotating machine faults</atitle><btitle>2008 10th International Conference on Control, Automation, Robotics and Vision</btitle><stitle>ICARCV</stitle><date>2008-12</date><risdate>2008</risdate><spage>1965</spage><epage>1970</epage><pages>1965-1970</pages><isbn>9781424422869</isbn><isbn>1424422868</isbn><eisbn>1424422876</eisbn><eisbn>9781424422876</eisbn><abstract>Detection of abnormalities and defects in rotating machinery at incipient stages is of prime importance for industrial plants and equipment. It avoids the occurrence of unplanned down time of the machinery that causes serious damage and costly downtime. Several condition monitoring techniques have been applied to rotating machinery in order to improve the plant reliability and reduce the downtime. This paper aims to investigate the effectiveness of Acoustic Emission (AE) system for incipient detection of faults related to rotating machinery. A system that is developed to provide a test-bed for this concept is described. A real time AE measurement system is developed and tested. The acquired AE signatures are processed and analyzed using LABVIEW. Time and frequency domain analysis are performed to identify the exact faults in the machinery.</abstract><pub>IEEE</pub><doi>10.1109/ICARCV.2008.4795831</doi><tpages>6</tpages></addata></record> |
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| identifier | ISBN: 9781424422869 |
| ispartof | 2008 10th International Conference on Control, Automation, Robotics and Vision, 2008, p.1965-1970 |
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| language | eng |
| recordid | cdi_ieee_primary_4795831 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Acoustic emission Acoustic signal detection Acoustic testing Condition monitoring Fault detection frequency domain Industrial plants LabVIEW Machinery Real time systems Rotating machinery Rotating machines System testing time domain |
| title | A study of acoustic emission technique on incipient detection of rotating machine faults |
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