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[Untitled]
- 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.
- Subjects :
- Correlation dimension
Engineering
business.industry
Applied Mathematics
Mechanical Engineering
Aerospace Engineering
Condition monitoring
Ocean Engineering
Degrees of freedom (mechanics)
Fault (power engineering)
Nonlinear system
symbols.namesake
Fourier transform
Control and Systems Engineering
Control theory
Frequency domain
symbols
Point (geometry)
Electrical and Electronic Engineering
business
Subjects
Details
- ISSN :
- 0924090X
- Volume :
- 25
- Database :
- OpenAIRE
- Journal :
- Nonlinear Dynamics
- Accession number :
- edsair.doi...........9a4e1a7b36372115e36b8c1c6d3a36d1
- Full Text :
- https://doi.org/10.1023/a:1012985802317