Estimation of forcing functions on a mistuned bladed rotor from harmonic response

Alok Sinha

doi:10.1115/GT201765045

Estimation of forcing functions on a mistuned bladed rotor from harmonic response

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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	https://doi.org/10.1115/GT201765045
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/Territory	United States
City	Charlotte
Period	6/26/17 → 6/30/17

All Science Journal Classification (ASJC) codes

Engineering(all)

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10.1115/GT201765045

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title = "Estimation of forcing functions on a mistuned bladed rotor from harmonic response",

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.",

author = "Alok Sinha",

year = "2017",

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doi = "10.1115/GT201765045",

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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.

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BT - Structures and Dynamics

PB - American Society of Mechanical Engineers (ASME)

T2 - ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition, GT 2017

Y2 - 26 June 2017 through 30 June 2017

ER -

Estimation of forcing functions on a mistuned bladed rotor from harmonic response

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