Early Fault Feature Extraction of Rotor Imbalance and Self-Healing Monitoring

Based on the analysis of rotor imbalance mechanism, the presumption of extracting early fault features of rotor imbalance through the utilization of wavelet packet noise elimination and feature zoom as well as conducting self healing monitoring over the rotor imbalance through the utilization of electromagnetic induction principle is proposed. In addition, simulation experiment is applied to prove the feasibility of the proposed method. In this paper, analysis and research have been carried out with respect to the selection of optimum wavelet packet basis, wavelet packet noise elimination and feature zoom, structure of fault feature vector, principle of electromagnetic induction rotor balance, which provides a new thinking and method for self-equilibrating of rotor.