BICOHERENCE SPECTRUM AND RADIAL BASIS FUNCTION NETWORK APPLIED TO FAULT DIAGNOSIS OF ROTATING MACHINERY
Zhi Nong Li · Jixie qiangdu · 2003
Bicoherence spectrum retained the system phase information, could describe nonlinear phase coupling. Radial basis function (RBF) network had good extensible and classified ability. Combined bicoherence spectrum with RBF network, a fault diagnosis approach using bicoherence spectrum and RBFN, in rotating machinery, was presented. They were that bicoherence spectrum was used as fault feature, and an RBFN as the classifier, fault classification in rotating machinery were successfully completed. At the same time, as an example of three typical fault i.e. rotor imbalance, rotor-to-stator contact and oil whirl. The experiment research had been made. The experimental results show that this fault diagnosis method is very effective in rotating machinery.