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    Operational Modal Analysis of Torsional Modes in Rotating Machinery

    Source: Journal of Engineering for Gas Turbines and Power:;2015:;volume( 137 ):;issue: 002::page 22501
    Author:
    Peter Carden, Eoin
    ,
    Lindblad, Mattias
    DOI: 10.1115/1.4028210
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Traditional experimental modal testing techniques rely on controlled and measured excitation together with measured responses in order to identify the mode shape, natural frequency, and damping factor of each mode. Applying a controlled and measured excitation to a rotor train when in operation is logistically difficult and especially challenging in the field. Operational modal analysis (OMA) identifies the modal parameters of a system from measurement of response due to some (unknown) excitation. OMA has proven successful over the past several decades on nonrotating structures but has relatively rarely been applied to rotating machinery. Case studies are presented demonstrating the use of OMA in identifying torsional modes on an electric motor driven reciprocating compressor, on a diesel engine driven fire water pump, and on a marine propulsion system. In contrast to lateral modes, torsional modes of rotor trains are typically not speed dependent. However, phenomena exist whereby the torsional modes may be different at stand still, offload and at different loads. The case studies provide examples of such phenomena and also of significant differences between predicted and measured behavior which suggests that improvements in industrial practice would be beneficial. Such improvements should be based on reconciliation of measured and predicted behavior and OMA offers a valuable tool to facilitate this. OMA provides a significant benefit in investigating and understanding torsional behavior in operation.
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      Operational Modal Analysis of Torsional Modes in Rotating Machinery

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/157864
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    • Journal of Engineering for Gas Turbines and Power

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    contributor authorPeter Carden, Eoin
    contributor authorLindblad, Mattias
    date accessioned2017-05-09T01:17:30Z
    date available2017-05-09T01:17:30Z
    date issued2015
    identifier issn1528-8919
    identifier othergtp_137_02_022501.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/157864
    description abstractTraditional experimental modal testing techniques rely on controlled and measured excitation together with measured responses in order to identify the mode shape, natural frequency, and damping factor of each mode. Applying a controlled and measured excitation to a rotor train when in operation is logistically difficult and especially challenging in the field. Operational modal analysis (OMA) identifies the modal parameters of a system from measurement of response due to some (unknown) excitation. OMA has proven successful over the past several decades on nonrotating structures but has relatively rarely been applied to rotating machinery. Case studies are presented demonstrating the use of OMA in identifying torsional modes on an electric motor driven reciprocating compressor, on a diesel engine driven fire water pump, and on a marine propulsion system. In contrast to lateral modes, torsional modes of rotor trains are typically not speed dependent. However, phenomena exist whereby the torsional modes may be different at stand still, offload and at different loads. The case studies provide examples of such phenomena and also of significant differences between predicted and measured behavior which suggests that improvements in industrial practice would be beneficial. Such improvements should be based on reconciliation of measured and predicted behavior and OMA offers a valuable tool to facilitate this. OMA provides a significant benefit in investigating and understanding torsional behavior in operation.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleOperational Modal Analysis of Torsional Modes in Rotating Machinery
    typeJournal Paper
    journal volume137
    journal issue2
    journal titleJournal of Engineering for Gas Turbines and Power
    identifier doi10.1115/1.4028210
    journal fristpage22501
    journal lastpage22501
    identifier eissn0742-4795
    treeJournal of Engineering for Gas Turbines and Power:;2015:;volume( 137 ):;issue: 002
    contenttypeFulltext
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