High-resolution intelligent rotor machine diagnostic system and method
| dc.citation.patentcountry | USA | zh_TW |
| dc.citation.patentnumber | 20050102116 | zh_TW |
| dc.contributor.author | Bai, Ming-Sian | en_US |
| dc.contributor.author | Hung, Ming-Hung | en_US |
| dc.contributor.author | Huang, Jia-Min | en_US |
| dc.contributor.author | Su, Fu-Cheng | en_US |
| dc.date.accessioned | 2014-12-16T06:16:17Z | |
| dc.date.available | 2014-12-16T06:16:17Z | |
| dc.date.issued | 2005-05-12 | en_US |
| dc.description.abstract | The 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.identifier.govdoc | G06F019/00 | zh_TW |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/105745 | |
| dc.language.iso | zh_TW | en_US |
| dc.title | High-resolution intelligent rotor machine diagnostic system and method | zh_TW |
| dc.type | Patents | en_US |