Method of rotor vibration fault diagnosis from process power spectrum entropy and SVM

For the complexity of rotor vibration process and the randomization of vibration fault generated, and difficulty for getting vibration fault samples, a fault diagnosis method based on power spectrum entropy and Support Vector Machine (SVM) with the SVM advantages of small sample, generalization and overall under information entropy was put forward. Four typical failures of rotor vibration was simulated based on rotor experiment and vibration fault data under more points and multi-speed is collected. The power spectrum entropy has been calculated through analyzing and processing the datum as fault vector, and the SVM model has been gained. And the validity of this method for distinguishing fault types, fault severity and fault location is proved to be effective by calculation and analysis of rotor vibration fault signals.