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

    Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
    Title of host publicationStructures and Dynamics
    PublisherAmerican Society of Mechanical Engineers (ASME)
    Volume7A-2017
    ISBN (Electronic)9780791850923
    DOIs
    StatePublished - Jan 1 2017
    EventASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition, GT 2017 - Charlotte, United States
    Duration: Jun 26 2017Jun 30 2017

    Other

    OtherASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition, GT 2017
    CountryUnited States
    CityCharlotte
    Period6/26/176/30/17

    Fingerprint

    Rotors
    Measurement errors
    Kalman filters
    Frequency response

    All Science Journal Classification (ASJC) codes

    • Engineering(all)

    Cite this

    Sinha, A. (2017). Estimation of forcing functions on a mistuned bladed rotor from harmonic response. In Structures and Dynamics (Vol. 7A-2017). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/GT201765045
    Sinha, Alok. / Estimation of forcing functions on a mistuned bladed rotor from harmonic response. Structures and Dynamics. Vol. 7A-2017 American Society of Mechanical Engineers (ASME), 2017.
    @inproceedings{2f6bb3ee964a47c1a9c87085e88c8571,
    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",
    month = "1",
    day = "1",
    doi = "10.1115/GT201765045",
    language = "English (US)",
    volume = "7A-2017",
    booktitle = "Structures and Dynamics",
    publisher = "American Society of Mechanical Engineers (ASME)",

    }

    Sinha, A 2017, Estimation of forcing functions on a mistuned bladed rotor from harmonic response. in Structures and Dynamics. vol. 7A-2017, American Society of Mechanical Engineers (ASME), ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition, GT 2017, Charlotte, United States, 6/26/17. https://doi.org/10.1115/GT201765045

    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 proceedingConference 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 -

    Sinha A. Estimation of forcing functions on a mistuned bladed rotor from harmonic response. In Structures and Dynamics. Vol. 7A-2017. American Society of Mechanical Engineers (ASME). 2017 https://doi.org/10.1115/GT201765045