A fault diagnosis method for bearing based on dual tree complex wavelet packet transform and 1.5 dimension spectrum
ZHAN Weiming
SHI Yan
WANG Jia
Abstract：To overcome the difficulty of fault diagnosis for rolling bearing,a diagnosis method based on dual tree complex wavelet packet transform and 1.5 dimension spectrum was proposed.Firstly,the complex and non-stationary original fault signal was decomposed into several different sub-band signal components using the dual tree complex wavelet packet transform,then the sub-band signal component containing the rich characteristic information was selected through the kurtosis evaluation index,and this signal component was regarded as the optimal component,then the envelope demodulation operation was performed on the optimal component.Finally,the 1.5 dimension spectrum of the obtained envelope signal was calculated and fault characteristic information of the bearing could be extracted.The analysis results of the measured signal showed that the diagnosis method based on dual tree complex wavelet packet transform and 1.5 dimension spectrum could effectively judge the fault type of the rolling bearing,and had a certain value for engineering application.
Keywords：dual tree complex wavelet packet transform1.5 dimension spectrumrolling bearingfault diagnosis
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 848-853 )