Estimation of forcing function, mistuning and modal damping in a bladed rotor

Arjun Singh Chauhan, Alok Sinha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper deals with the estimation of forcing function, modal damping and mistuned modal stiffnesses in a bladed rotor. Previous research on parameter estimation in a mistuned bladed rotor relies on the knowledge of the forcing function as well as the vibration data. This paper presents two novel approaches. The first approach relies on knowledge of both the forcing and vibration data. The parameters are treated as states of the system and an augmented state space model is created. Unscented Kalman Filter is then used on the steady state data to estimate the parameters. The second approach eliminates the dependence on forcing data. Both the forcing and parameters are now treated as states of the system to construct an augmented state space model. Unscented Kalman Filter is then used on transient vibration data for estimation. Numerical results are presented for a simple model of a mistuned bladed rotor which considers a single mode of vibration per blade.

Original languageEnglish (US)
Title of host publicationStructures and Dynamics
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791858684
DOIs
StatePublished - Jan 1 2019
EventASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition, GT 2019 - Phoenix, United States
Duration: Jun 17 2019Jun 21 2019

Publication series

NameProceedings of the ASME Turbo Expo
Volume7A-2019

Conference

ConferenceASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition, GT 2019
CountryUnited States
CityPhoenix
Period6/17/196/21/19

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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