Crack Detection of Nonlinear Rotor in Large Rotating Machinery

摘要

To detect crack of nonlinear rotor in large rotating machinery, the correlation dimension is introduced, which is calculated through G-P algorithm. The optimal delay time is derived from autocorrelation function, and the pseudo-phase portrait of cracked rotor is investigated. The influence of embedding dimension and data length on the correlation dimension is studied thoroughly, and the accurate value of correlation dimension is obtained, which can provide a basis for crack identification.