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dc.contributor.authorBaien_US
dc.contributor.authorMing-Sianen_US
dc.contributor.authorHungen_US
dc.contributor.authorMing-Hungen_US
dc.contributor.authorHuangen_US
dc.contributor.authorJia-Minen_US
dc.contributor.authorSuen_US
dc.contributor.authorFu-Chengen_US
dc.date.accessioned2014-12-16T06:14:33Z-
dc.date.available2014-12-16T06:14:33Z-
dc.date.issued2006-07-18en_US
dc.identifier.govdocG01F017/00zh_TW
dc.identifier.govdocG01F023/00zh_TW
dc.identifier.govdocG01L007/00zh_TW
dc.identifier.govdocG01N011/00zh_TW
dc.identifier.govdocG06F019/00zh_TW
dc.identifier.urihttp://hdl.handle.net/11536/104807-
dc.description.abstractThe present invention relates to a smart system and method of performing high-resolution frequency order analysis/diagnosis on rotor, in which such system is characterized in that capable of performing order analysis via a Kalman filter or a RLS (Recursive Least Square) algorithm while determining the failure status based on the Fuzzy theory. The smart system of present invention comprises a data acquisition means, a bench data setup means, a STFT time-spectra analysis/re-sampled order tracking means, a Kalman filter or RLS algorithmic means, a fuzzy diagnosis means and a window interface (e.g., GUI) while repeatedly making use the functions of those means so as to achieve the real-time diagnosis on rotor.zh_TW
dc.language.isozh_TWen_US
dc.titleHigh-resolution intelligent rotor machine diagnostic system and methodzh_TW
dc.typePatentsen_US
dc.citation.patentcountryUSAzh_TW
dc.citation.patentnumber07079959zh_TW
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