A new approach to computer–aided vibration surveillance of rotating machinery. (4th August 2014)

• Record Type: Journal Article
• Authors: Qu, Liangsheng; Chen, Yaodong; Liu, Xiong
• Is Part Of: International journal of computer applications technology. Volume 2:Number 2(1989)
• Page Start: 108
• Page End: 117
• Publication Date: 2014-08-04
• Subjects: FFT -- fast Fourier transform -- rotor vibration behaviour -- technical diagnosis -- vibration supervision -- holospectra -- fuzzy classification -- equipment vibration -- expert systems -- computer–aided vibration -- fuzzy logic -- rotating machinery -- oil refineries -- power plants -- machinery supervision -- machinery diagnostics; Technology -- Data processing -- Periodicals; 620.00285
• Languages: English
• ISSNs: 0952-8091

Abstract

The necessary hardware and software supports for a high–performance computer–aided vibrational supervision and diagnostic system are discussed. Holospectrum and cascade holospectrum diagrams are introduced. A fuzzy classification method for FFT spectra is proposed to distinguish the abnormal conditions of the rotating machinery. Finally, some practical examples using the above method from oil refineries and power plants are illustrated.