Operational Modal Analysis of Y25 Bogie via Stochastic Subspace Identification for the Condition Monitoring of Primary Suspension Systems

2019 ◽  
pp. 166-181 ◽  
Author(s):  
Fulong Liu ◽  
Jiongqi Wang ◽  
Miaoshuo Li ◽  
Fengshou Gu ◽  
Andrew D. Ball
Keyword(s):  
Modal Analysis ◽  
Condition Monitoring ◽  
Operational Modal Analysis ◽  
Subspace Identification ◽  
Stochastic Subspace Identification ◽  
Suspension Systems

An improved stochastic subspace identification for operational modal analysis

Measurement ◽  
2012 ◽  
Vol 45 (5) ◽  
pp. 1246-1256 ◽  
Author(s):  
Guowen Zhang ◽  
Baoping Tang ◽  
Guangwu Tang
Keyword(s):  
Modal Analysis ◽  
Operational Modal Analysis ◽  
Subspace Identification ◽  
Stochastic Subspace Identification

scholarly journals Operational Modal Analysis for Estimating the Dynamic Properties of a Stadium Structure during a Football Game

2007 ◽  
Vol 14 (4) ◽  
pp. 283-303 ◽  
Author(s):  
Bart Peeters ◽  
Herman Van der Auweraer ◽  
Frederik Vanhollebeke ◽  
Patrick Guillaume
Keyword(s):  
Modal Analysis ◽  
Dynamic Properties ◽  
Estimation Method ◽  
Operational Modal Analysis ◽  
Primary Data ◽  
Subspace Identification ◽  
Time Lags ◽  
Data Set ◽  
Stochastic Subspace Identification ◽  
Football Game

During a football game, the ambient vibrations at the roof of a football stadium were recorded. A very large data set consisting of 4 hours of data, sampled at 80 Hz, is available. By a data reduction procedure, the complete data set could be analysed at once in a very short time. The data set was also split in shorter segments corresponding to certain events before, during and after the game to investigate the influence of varying operational conditions on the dynamic properties.As the structural vibrations were caused by unmeasurable wind and crowd excitation, Operational Modal Analysis has to be applied to find the dynamic characteristics of the structure. The new operational PolyMAX parameter estimation method is used and compared with Stochastic Subspace Identification. Stochastic Subspace Identification requires the correlations between the responses as primary data, whereas PolyMAX operates on spectra or half spectra (i.e. the Fourier transform of the positive time lags of the correlation functions). The main advantage of PolyMAX is that it yields extremely clear stabilisation diagrams, making an automation of the parameter identification process rather straightforward. This enables a continuous monitoring of the dynamic properties of a structure.

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