Detection of mechanical fault in linear servo motion systems using synchronous-averaging and wavelet de-noising
Machinery condition monitoring by vibration analysis has been discussed over decades. Varieties of rotor, bearing and gearbox diagnostic techniques are available. Most of them are developed for rotary machines. Traditional spectrum analysis can successfully detect defects induced from a periodical i...
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| creator | Tsz Kei Ko Ping Kong Choy Liu, P.C.K. |
| description | Machinery condition monitoring by vibration analysis has been discussed over decades. Varieties of rotor, bearing and gearbox diagnostic techniques are available. Most of them are developed for rotary machines. Traditional spectrum analysis can successfully detect defects induced from a periodical impact signal under constant speed operation. However, a linear motion system does not exhibit a periodic behavior and the diagnosis technique is relatively new for researchers. This paper introduces a synchronous averaging and wavelet de-noising combined technique to detect defects on a precision linear motion servo-control system. Experimental results of the proposed method are also presented. |
| doi_str_mv | 10.1109/DEMPED.2005.4662517 |
| format | Conference Proceeding |
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Varieties of rotor, bearing and gearbox diagnostic techniques are available. Most of them are developed for rotary machines. Traditional spectrum analysis can successfully detect defects induced from a periodical impact signal under constant speed operation. However, a linear motion system does not exhibit a periodic behavior and the diagnosis technique is relatively new for researchers. This paper introduces a synchronous averaging and wavelet de-noising combined technique to detect defects on a precision linear motion servo-control system. Experimental results of the proposed method are also presented.</description><subject>Gaussian noise</subject><subject>Maximum likelihood estimation</subject><subject>Noise measurement</subject><subject>Noise reduction</subject><subject>Signal to noise ratio</subject><subject>Vibrations</subject><subject>Wavelet transforms</subject><isbn>0780391241</isbn><isbn>9780780391246</isbn><isbn>078039125X</isbn><isbn>9780780391253</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkE1PAjEQhmsMiYj8Ai79A4vTbbvdHg3gR4LRAwdvZCizULPbmu2C4d-7KIlzmTyT530Pw9hEwFQIsPfzxev7Yj7NAfRUFUWuhblit2BKkFbk-uP6H5QYsOFZtLkCdcPGKX1CP0qDFXLI4pw6cp2PgceKN-T2GLzDmld4qDvuA699IGx5ovYYeRN_1XRKHTWJH5IPu56C27cxxEPK8Egt7s5XDFv-3WNNHd9SFqI_y3dsUGGdaHzZI7Z6XKxmz9ny7ell9rDMvIUuE6SwsCBNJbQi1MaV0uVC2QrQmg06cmDMRkinS1UZC6ihkKUlKPqkQTlik79aT0Trr9Y32J7Wl1_JHxgPXgI</recordid><startdate>200509</startdate><enddate>200509</enddate><creator>Tsz Kei Ko</creator><creator>Ping Kong Choy</creator><creator>Liu, P.C.K.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200509</creationdate><title>Detection of mechanical fault in linear servo motion systems using synchronous-averaging and wavelet de-noising</title><author>Tsz Kei Ko ; Ping Kong Choy ; Liu, P.C.K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-1e4a69037f154ea57c83c2149f0a97bacec077b13c584f790a506389e06e4a7a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Gaussian noise</topic><topic>Maximum likelihood estimation</topic><topic>Noise measurement</topic><topic>Noise reduction</topic><topic>Signal to noise ratio</topic><topic>Vibrations</topic><topic>Wavelet transforms</topic><toplevel>online_resources</toplevel><creatorcontrib>Tsz Kei Ko</creatorcontrib><creatorcontrib>Ping Kong Choy</creatorcontrib><creatorcontrib>Liu, P.C.K.</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>Tsz Kei Ko</au><au>Ping Kong Choy</au><au>Liu, P.C.K.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Detection of mechanical fault in linear servo motion systems using synchronous-averaging and wavelet de-noising</atitle><btitle>2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives</btitle><stitle>DEMPED</stitle><date>2005-09</date><risdate>2005</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><isbn>0780391241</isbn><isbn>9780780391246</isbn><eisbn>078039125X</eisbn><eisbn>9780780391253</eisbn><abstract>Machinery condition monitoring by vibration analysis has been discussed over decades. Varieties of rotor, bearing and gearbox diagnostic techniques are available. Most of them are developed for rotary machines. Traditional spectrum analysis can successfully detect defects induced from a periodical impact signal under constant speed operation. However, a linear motion system does not exhibit a periodic behavior and the diagnosis technique is relatively new for researchers. This paper introduces a synchronous averaging and wavelet de-noising combined technique to detect defects on a precision linear motion servo-control system. Experimental results of the proposed method are also presented.</abstract><pub>IEEE</pub><doi>10.1109/DEMPED.2005.4662517</doi><tpages>6</tpages></addata></record> |
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| identifier | ISBN: 0780391241 |
| ispartof | 2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2005, p.1-6 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Gaussian noise Maximum likelihood estimation Noise measurement Noise reduction Signal to noise ratio Vibrations Wavelet transforms |
| title | Detection of mechanical fault in linear servo motion systems using synchronous-averaging and wavelet de-noising |
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