Condition Monitoring Based on Estimating Complex Coupling Coefficients

Author

Park, Hyeonsu ; Powers, Edward J. ; Grady, W. Mack ; Arapostathis, Ari

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX

fYear

2008

fDate

12-15 May 2008

Firstpage

781

Lastpage

786

Abstract

In this paper, we investigate a novel method to estimate, from measured single time series data, complex quadratic coupling coefficients in order to quantify the "strength" of nonlinear frequency interactions associated with rotating machine degradation. Such knowledge may provide new physical insight and new nonlinear signatures useful for advanced condition monitoring.

Keywords

condition monitoring; electric machines; time series; advanced condition monitoring; complex coupling coefficient estimation; complex quadratic coupling coefficients; nonlinear frequency interactions; nonlinear signatures; rotating machine degradation; single time series data; Condition monitoring; Couplings; Degradation; Frequency estimation; Frequency measurement; Instrumentation and measurement; Nonlinear systems; Phase detection; Phase frequency detector; Rotating machines; Condition monitoring; complex coupling coefficients; higher-order spectra;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference Proceedings, 2008. IMTC 2008. IEEE

Conference_Location

Victoria, BC

ISSN

1091-5281

Print_ISBN

978-1-4244-1540-3

Electronic_ISBN

1091-5281

Type

conf

DOI

10.1109/IMTC.2008.4547143

Filename

4547143