2005
DOI: 10.1007/s11071-005-2794-z
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Nonlinear System Analysis with Karhunen–Loève Transform

Abstract: The Karhunen-Loève Transform was established to find structures in random process data. Nonlinear dynamical systems often appear to have uncorrelated output in case of chaotic behavior. This analogy leads to the idea of analyzing nonlinear dynamical systems with methods developed for random processes. The Karhunen-Loève Transform provides a basis for different approaches to the investigation of these systems. This paper gives an introduction to the mathematical concept and an overview of popular Karhunen-Loève… Show more

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Cited by 20 publications
(10 citation statements)
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References 16 publications
(15 reference statements)
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“…Thus, provided that the ellipse is flat enough, we may represent the system motion by just the first coordinate α 1 without significant loss of information, e.g. [27]. In this section we briefly introduce the mathematical background of the KLT procedure and refer to e.g.…”
Section: Basics Of Kltmentioning
confidence: 99%
See 1 more Smart Citation
“…Thus, provided that the ellipse is flat enough, we may represent the system motion by just the first coordinate α 1 without significant loss of information, e.g. [27]. In this section we briefly introduce the mathematical background of the KLT procedure and refer to e.g.…”
Section: Basics Of Kltmentioning
confidence: 99%
“…We choose cluster particles p i to comply with kinetic energy criterion of Eq. (27), where µ = 1.5. Finally, we simulate the hybrid DEM/KLT model and compare the results.…”
Section: An Exemplary Study: Dynamics Of a Cantilever Beammentioning
confidence: 99%
“…After several trials (e.g. wavelet analysis among others) the Karhunen Loève transformation (also known as Proper Orthogonal Decomposition POD or Principle Component Analysis PCA, [4]), using signal-dependent characteristic functions, proved to be the adequate for this purpose. …”
Section: Evaluation Of the Wheel Set Rolling Qualitymentioning
confidence: 99%
“…Solving the eigenvalue problem (1) we derive sets of Weighing Factors, eigenvalues and Characteristic Functions. Assuming structural consistency of the bogie/wheelset motion during time intervals ∆T , we characterize the dynamics by KLT ([GK04] and [GK05]):…”
Section: Concept Of Karhunen-loève Transformmentioning
confidence: 99%