The Procedure for Subspace Identification Optimal Parameters Selection in Application to the Turbine Blade Modal Analysis

V. A. Kuts, S. M. Nikolaev, S. A. Voronov

Research output: Contribution to journalConference articlepeer-review

9 Citations (Scopus)

Abstract

This paper considers a problem of parameters selection in stochastic subspace identification algorithm (SSI). There are two user-defined parameters in SSI, such as the "window length" and the model order. To introduce the model order selection, the stabilization diagram (SD) in combination with the modal similarity index and stabilization criteria is used. Furthermore, SD is adopted to indicate spurious modes resulting from noise. Some singular spectral analysis features are used for the optimal window length selection. The algorithm has been tested with the data obtained from the turbine blade modal testing. The obtained modal parameters in combination with blade FE-model are used to simulate the dynamic response due to multiharmonic loading. Good correlation between simulation and corresponding experimental results confirms the correctness of the proposed algorithm.

Original languageEnglish
Pages (from-to)56-65
Number of pages10
JournalProcedia Engineering
Volume176
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventProceedings of the 3rd International Conference on Dynamics and Vibroacoustics of Machines, DVM 2016 - Samara, Russian Federation
Duration: 29 Jun 20161 Jul 2016

Keywords

  • dynamics parameters
  • operational modal analysis
  • stabilization diagram
  • stochastic subspace identification
  • time series analysis

Fingerprint

Dive into the research topics of 'The Procedure for Subspace Identification Optimal Parameters Selection in Application to the Turbine Blade Modal Analysis'. Together they form a unique fingerprint.

Cite this