Health monitoring system for transmission shafts based on adaptive parameter identification
•A health monitoring system for a transmission shaft is proposed.•Model based condition monitoring and fault diagnosis is presented.•Linear recursive identification algorithm is used for health monitoring. A health monitoring system for a transmission shaft is proposed. The solution is based on the...
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| Veröffentlicht in: | Mechanical systems and signal processing 2018-05, Vol.104, p.673-687 |
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| container_title | Mechanical systems and signal processing |
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| creator | Souflas, I. Pezouvanis, A. Ebrahimi, K.M. |
| description | •A health monitoring system for a transmission shaft is proposed.•Model based condition monitoring and fault diagnosis is presented.•Linear recursive identification algorithm is used for health monitoring.
A health monitoring system for a transmission shaft is proposed. The solution is based on the real-time identification of the physical characteristics of the transmission shaft i.e. stiffness and damping coefficients, by using a physical oriented model and linear recursive identification. The efficacy of the suggested condition monitoring system is demonstrated on a prototype transient engine testing facility equipped with a transmission shaft capable of varying its physical properties. Simulation studies reveal that coupling shaft faults can be detected and isolated using the proposed condition monitoring system. Besides, the performance of various recursive identification algorithms is addressed. The results of this work recommend that the health status of engine dynamometer shafts can be monitored using a simple lumped-parameter shaft model and a linear recursive identification algorithm which makes the concept practically viable. |
| doi_str_mv | 10.1016/j.ymssp.2017.11.023 |
| format | Article |
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A health monitoring system for a transmission shaft is proposed. The solution is based on the real-time identification of the physical characteristics of the transmission shaft i.e. stiffness and damping coefficients, by using a physical oriented model and linear recursive identification. The efficacy of the suggested condition monitoring system is demonstrated on a prototype transient engine testing facility equipped with a transmission shaft capable of varying its physical properties. Simulation studies reveal that coupling shaft faults can be detected and isolated using the proposed condition monitoring system. Besides, the performance of various recursive identification algorithms is addressed. The results of this work recommend that the health status of engine dynamometer shafts can be monitored using a simple lumped-parameter shaft model and a linear recursive identification algorithm which makes the concept practically viable.</description><identifier>ISSN: 0888-3270</identifier><identifier>EISSN: 1096-1216</identifier><identifier>DOI: 10.1016/j.ymssp.2017.11.023</identifier><language>eng</language><publisher>Berlin: Elsevier Ltd</publisher><subject>Adaptive systems ; Algorithms ; Computer simulation ; Condition monitoring ; Damping ; Dynamometer ; Engine ; Fault detection ; Health ; Health monitoring ; Kalman filter ; Mathematical models ; Parameter identification ; Physical properties ; Real time ; Shaft ; Stiffness ; Studies ; Transmission</subject><ispartof>Mechanical systems and signal processing, 2018-05, Vol.104, p.673-687</ispartof><rights>2017 Elsevier Ltd</rights><rights>Copyright Elsevier BV May 1, 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c424t-c348d6de20ffb206b3c11310f5fff3623082bfff86c0d0dc79162555f6ffb2243</citedby><cites>FETCH-LOGICAL-c424t-c348d6de20ffb206b3c11310f5fff3623082bfff86c0d0dc79162555f6ffb2243</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0888327017306052$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27903,27904,65309</link.rule.ids></links><search><creatorcontrib>Souflas, I.</creatorcontrib><creatorcontrib>Pezouvanis, A.</creatorcontrib><creatorcontrib>Ebrahimi, K.M.</creatorcontrib><title>Health monitoring system for transmission shafts based on adaptive parameter identification</title><title>Mechanical systems and signal processing</title><description>•A health monitoring system for a transmission shaft is proposed.•Model based condition monitoring and fault diagnosis is presented.•Linear recursive identification algorithm is used for health monitoring.
A health monitoring system for a transmission shaft is proposed. The solution is based on the real-time identification of the physical characteristics of the transmission shaft i.e. stiffness and damping coefficients, by using a physical oriented model and linear recursive identification. The efficacy of the suggested condition monitoring system is demonstrated on a prototype transient engine testing facility equipped with a transmission shaft capable of varying its physical properties. Simulation studies reveal that coupling shaft faults can be detected and isolated using the proposed condition monitoring system. Besides, the performance of various recursive identification algorithms is addressed. The results of this work recommend that the health status of engine dynamometer shafts can be monitored using a simple lumped-parameter shaft model and a linear recursive identification algorithm which makes the concept practically viable.</description><subject>Adaptive systems</subject><subject>Algorithms</subject><subject>Computer simulation</subject><subject>Condition monitoring</subject><subject>Damping</subject><subject>Dynamometer</subject><subject>Engine</subject><subject>Fault detection</subject><subject>Health</subject><subject>Health monitoring</subject><subject>Kalman filter</subject><subject>Mathematical models</subject><subject>Parameter identification</subject><subject>Physical properties</subject><subject>Real time</subject><subject>Shaft</subject><subject>Stiffness</subject><subject>Studies</subject><subject>Transmission</subject><issn>0888-3270</issn><issn>1096-1216</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LAzEQhoMoWKu_wEvA864zyW66PXiQolYQvOjJQ8jmQ1O6H2ai0H_v1nr2NDPwPjPMw9glQomA6npT7jqisRSAixKxBCGP2AxhqQoUqI7ZDJqmKaRYwCk7I9oAwLICNWNva2-2-YN3Qx_zkGL_zmlH2Xc8DInnZHrqIlEcek4fJmTirSHv-DQbZ8Ycvz0fTTKdzz7x6HyfY4jW5Ik4ZyfBbMlf_NU5e72_e1mti6fnh8fV7VNhK1Hlwsqqccp5ASG0AlQrLaJECHUIQSohoRHt1DbKggNnF0tUoq7roPZ5Uck5uzrsHdPw-eUp683wlfrppBYgKhAI9XJKyUPKpoEo-aDHFDuTdhpB7y3qjf61qPcWNaKeLE7UzYHy0wPf0SdNNvreeheTt1m7If7L_wBJen4h</recordid><startdate>20180501</startdate><enddate>20180501</enddate><creator>Souflas, I.</creator><creator>Pezouvanis, A.</creator><creator>Ebrahimi, K.M.</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20180501</creationdate><title>Health monitoring system for transmission shafts based on adaptive parameter identification</title><author>Souflas, I. ; Pezouvanis, A. ; Ebrahimi, K.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c424t-c348d6de20ffb206b3c11310f5fff3623082bfff86c0d0dc79162555f6ffb2243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adaptive systems</topic><topic>Algorithms</topic><topic>Computer simulation</topic><topic>Condition monitoring</topic><topic>Damping</topic><topic>Dynamometer</topic><topic>Engine</topic><topic>Fault detection</topic><topic>Health</topic><topic>Health monitoring</topic><topic>Kalman filter</topic><topic>Mathematical models</topic><topic>Parameter identification</topic><topic>Physical properties</topic><topic>Real time</topic><topic>Shaft</topic><topic>Stiffness</topic><topic>Studies</topic><topic>Transmission</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Souflas, I.</creatorcontrib><creatorcontrib>Pezouvanis, A.</creatorcontrib><creatorcontrib>Ebrahimi, K.M.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Mechanical systems and signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Souflas, I.</au><au>Pezouvanis, A.</au><au>Ebrahimi, K.M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Health monitoring system for transmission shafts based on adaptive parameter identification</atitle><jtitle>Mechanical systems and signal processing</jtitle><date>2018-05-01</date><risdate>2018</risdate><volume>104</volume><spage>673</spage><epage>687</epage><pages>673-687</pages><issn>0888-3270</issn><eissn>1096-1216</eissn><abstract>•A health monitoring system for a transmission shaft is proposed.•Model based condition monitoring and fault diagnosis is presented.•Linear recursive identification algorithm is used for health monitoring.
A health monitoring system for a transmission shaft is proposed. The solution is based on the real-time identification of the physical characteristics of the transmission shaft i.e. stiffness and damping coefficients, by using a physical oriented model and linear recursive identification. The efficacy of the suggested condition monitoring system is demonstrated on a prototype transient engine testing facility equipped with a transmission shaft capable of varying its physical properties. Simulation studies reveal that coupling shaft faults can be detected and isolated using the proposed condition monitoring system. Besides, the performance of various recursive identification algorithms is addressed. The results of this work recommend that the health status of engine dynamometer shafts can be monitored using a simple lumped-parameter shaft model and a linear recursive identification algorithm which makes the concept practically viable.</abstract><cop>Berlin</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ymssp.2017.11.023</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Mechanical systems and signal processing, 2018-05, Vol.104, p.673-687 |
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| language | eng |
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| source | Elsevier ScienceDirect Journals |
| subjects | Adaptive systems Algorithms Computer simulation Condition monitoring Damping Dynamometer Engine Fault detection Health Health monitoring Kalman filter Mathematical models Parameter identification Physical properties Real time Shaft Stiffness Studies Transmission |
| title | Health monitoring system for transmission shafts based on adaptive parameter identification |
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