Back to Search Start Over

[Untitled]

[Untitled]

Authors :
Zongxiao Wu
Jubing Chen
Weike Wang
Source :
Nonlinear Dynamics. 25:383-393
Publication Year :
2001
Publisher :
Springer Science and Business Media LLC, 2001.

Abstract

This paper reports on the application of nonlinear dynamics andhigher-order spectra, with particular regard to the correlationdimension and bispectra in rotating machinery fault identification. Theperformance of the two methods is evaluated from the view of thepractitioners' point. The correlation dimension of nonlinear dynamicalsystem is of value to engineers because it provides an estimation of thenumber of degrees of freedom that an engineering system possesses. Itcan provide some intrinsic information of an underlying dynamic system,and can be used to classify different faults intelligently. Therefore,correlation dimension is helpful for an automatic fault detectionprocedure. Bispectral analysis offers a method for determining thenonlinear coupling and energy exchange between Fourier modes, andexplains the origins of spectra peaks at certain values in the frequencyspectrum. Such frequency domain information is necessary in order toclassify different faults in rotating machinery. Therefore, acombination of correlation dimension and bispectra offer a gooddescription of a nonlinear system. These methods can be complementary toeach other in machinery condition monitoring and fault diagnosis field.

Details

ISSN :
0924090X
Volume :
25
Database :
OpenAIRE
Journal :
Nonlinear Dynamics
Accession number :
edsair.doi...........9a4e1a7b36372115e36b8c1c6d3a36d1
Full Text :
https://doi.org/10.1023/a:1012985802317