Title: A new approach to computer-aided vibration surveillance of rotating machinery

Authors: Liangsheng Qu, Yaodong Chen, Xiong Liu

Addresses: Research Laboratory of Machinery Surveillance and Diagnostics, Xian Jiaotong University, Xian, People's Republic of China. ' Research Laboratory of Machinery Surveillance and Diagnostics, Xian Jiaotong University, Xian, People's Republic of China. ' Research Laboratory of Machinery Surveillance and Diagnostics, Xian Jiaotong University, Xian, People's Republic of China

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.

Keywords: 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.

DOI: 10.1504/IJCAT.1989.062655

International Journal of Computer Applications in Technology, 1989 Vol.2 No.2, pp.108 - 117

Published online: 11 Jun 2014 *

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