2004•Unpublished venueRequires access
The fault character of the motors identified based wavelet transform
Xiuqing Wang, Feng Li, Hailian Du, Guang-Jin Dai
Open publisher page 1 citations
Abstract
Based on the contrasting of the basic characteristics wavelet transform, this paper studies the method about getting the fault information by the singularity of the signals identified by wavelet, and the simulation from the computer for the fault signal model of the motors proves that the wavelet transform cannot only separate noise from the useful signal effectively, but also reflect the character and the time when the fault appears.