Abstract Operational Modal Analysis (OMA) extracts modal parameters of a structure using their output response, during operation in general. OMA, when applied to mechanical engineering structures is often faced with the problem of harmonics present in the output response, and can cause erroneous modal extraction. The random decrement (RD) method of OMA helps extract randomdec signature data that can be further processed to obtain modal parameters of a structure. This paper for the first time analyses influence of a harmonic in the response on randomdec signature. Fundamental equations based on probability are derived for analyzing the influence of a harmonic on randomdec signature. These probabilistic equations are then used to predict the amplitude of the harmonic in randomdec signature. Randomdec signature of a pure harmonic signal is also derived and it is shown that it is of the same frequency as that of the harmonic signal, but has an amplitude equal to the trigger level used to find the randomdec. Based on the developed theory, new insights into the influence of harmonic on randomdec are presented based on an example. It is shown that the influence of the harmonic on randomdec is characterized by the conditional probability density function of the harmonic. It is found that more unsymmetrical is this PDF, more is the amplitude of the harmonic that is present in the randomdec signature. The amplitude of the harmonic in the randomdec is shown to be the conditional expected value of the harmonic. It is also shown that as the random component of the response increases then the amplitude of the harmonic in the randomdec decreases and in the limit can be completely eliminated.
[1]
Rune Brincker,et al.
Vector Triggering Random Decrement Technique for Higher Identification Accuracy
,
1996
.
[2]
Palle Andersen,et al.
An Indicator for Separation of Structural and Harmonic Modes in Output-Only Modal Testing
,
2000
.
[3]
Rune Brincker,et al.
An Overview of Operational Modal Analysis: Major Development and Issues
,
2005
.
[4]
S. R. Ibrahim,et al.
STATISTICAL THEORY OF THE VECTOR RANDOM DECREMENT TECHNIQUE
,
1999
.
[5]
Rune Brincker,et al.
Eliminating the Influence of Harmonic Components in Operational Modal Analysis
,
2007
.
[6]
Prasenjit Mohanty,et al.
Operational modal analysis in the presence of harmonic excitation
,
2004
.
[7]
T. K. Kundra,et al.
Harmonics elimination algorithm for operational modal analysis using random decrement technique
,
2010
.
[8]
S. R. Ibrahim,et al.
Vector Triggering Random Decrement for High Identification Accuracy
,
1998
.
[9]
S. R. Ibrahim.
Random Decrement Technique for Modal Identification of Structures
,
1977
.
[10]
Poul Henning Kirkegaard,et al.
Identification of Dynamical Properties from Correlation Function Estimates
,
1992
.
[11]
A. B. Dunwoody,et al.
A Mathematical Basis for the Random Decrement Vibration Signature Analysis Technique
,
1982
.
[12]
Roy Leipnik.
First and second order distributions of a sine wave of random phase plus Gaussian noise
,
1960
.
[13]
J. C. Asmussen,et al.
A New Approach for Predicting the Variance of Random Decrement Functions
,
1998
.