Abstract
This paper deals with the estimation of forcing functions on a mistuned bladed rotor from measurements of harmonic response via Kalman Filter in time domain. An unique feature of this approach is that the number of estimated variables can be far greater than the number of measurements. The robustness of this method to measurement errors is shown. It is also shown that direct prediction of amplitude and phase of sinusoidal force vector from input/output frequency response function has a large amount of errors in the presence of unavoidable measurement noise. Numerical examples contain both frequency mistuning and geometric mistuning.
| Original language | English (US) |
|---|---|
| Title of host publication | Structures and Dynamics |
| Publisher | American Society of Mechanical Engineers (ASME) |
| Volume | 7A-2017 |
| ISBN (Electronic) | 9780791850923 |
| DOIs | |
| State | Published - Jan 1 2017 |
| Event | ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition, GT 2017 - Charlotte, United States Duration: Jun 26 2017 → Jun 30 2017 |
Other
| Other | ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition, GT 2017 |
|---|---|
| Country | United States |
| City | Charlotte |
| Period | 6/26/17 → 6/30/17 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
Cite this
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Estimation of forcing functions on a mistuned bladed rotor from harmonic response. / Sinha, Alok.
Structures and Dynamics. Vol. 7A-2017 American Society of Mechanical Engineers (ASME), 2017.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Estimation of forcing functions on a mistuned bladed rotor from harmonic response
AU - Sinha, Alok
PY - 2017/1/1
Y1 - 2017/1/1
N2 - This paper deals with the estimation of forcing functions on a mistuned bladed rotor from measurements of harmonic response via Kalman Filter in time domain. An unique feature of this approach is that the number of estimated variables can be far greater than the number of measurements. The robustness of this method to measurement errors is shown. It is also shown that direct prediction of amplitude and phase of sinusoidal force vector from input/output frequency response function has a large amount of errors in the presence of unavoidable measurement noise. Numerical examples contain both frequency mistuning and geometric mistuning.
AB - This paper deals with the estimation of forcing functions on a mistuned bladed rotor from measurements of harmonic response via Kalman Filter in time domain. An unique feature of this approach is that the number of estimated variables can be far greater than the number of measurements. The robustness of this method to measurement errors is shown. It is also shown that direct prediction of amplitude and phase of sinusoidal force vector from input/output frequency response function has a large amount of errors in the presence of unavoidable measurement noise. Numerical examples contain both frequency mistuning and geometric mistuning.
UR - http://www.scopus.com/inward/record.url?scp=85029048025&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85029048025&partnerID=8YFLogxK
U2 - 10.1115/GT201765045
DO - 10.1115/GT201765045
M3 - Conference contribution
AN - SCOPUS:85029048025
VL - 7A-2017
BT - Structures and Dynamics
PB - American Society of Mechanical Engineers (ASME)
ER -