標題: | Development of an on-line diagnosis system for rotor vibration via model-based intelligent inference |
作者: | Bai, MSR Hsiao, I Tsai, HM Lin, CT 機械工程學系 Department of Mechanical Engineering |
公開日期: | 1-一月-2000 |
摘要: | An on-line fault detection and isolation technique is proposed for the diagnosis of rotating machinery. The architecture of the system consists of a feature generation module and a fault inference module. Lateral vibration data are used for calculating the system features. Both continuous-time and discrete-time parameter estimation algorithms are employed for generating the features. A neural fuzzy network is exploited for intelligent inference of faults based on the extracted features. The proposed method is implemented on a digital signal processor. Experiments carried out for a rotor kit and a centrifugal fan indicate the potential of the proposed techniques in predictive maintenance. (C) 2000 Acoustical Society of America. [S0001-4966(00)03201-X]. |
URI: | http://dx.doi.org/10.1121/1.428306 http://hdl.handle.net/11536/30864 |
ISSN: | 0001-4966 |
DOI: | 10.1121/1.428306 |
期刊: | JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA |
Volume: | 107 |
Issue: | 1 |
起始頁: | 315 |
結束頁: | 323 |
顯示於類別: | 期刊論文 |