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


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  1. 000085225900026.pdf