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    Incipient Surge Detection in Large Volume Energy Systems Based on Wigner–Ville Distribution Evaluated on Vibration Signals

    Source: Journal of Engineering for Gas Turbines and Power:;2021:;volume( 143 ):;issue: 007::page 071014-1
    Author:
    Champ, Carlo Alberto Niccolini Marmont Du Haut
    ,
    Silvestri, Paolo
    ,
    Ferrari, Mario Luigi
    ,
    Massardo, Aristide Fausto
    DOI: 10.1115/1.4049855
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Compressor response investigation in nearly unstable operating conditions, like rotating stall and incipient surge, is a challenging topic nowadays in the turbomachinery research field. Indeed, turbines connected with large-size volumes are affected by critical issues related to surge prevention, particularly during transient operations. Advanced signal-processing operations conducted on vibrational responses provide an insight into possible diagnostic and predictive solutions which can be derived from accelerometer measurements. Indeed, vibrational investigation is largely employed in rotating-machine diagnostics together with time-frequency analysis such as smoothed pseudo-Wigner Ville (SPWVD) time-frequency distribution (TFD) considered in this paper. It is characterized by excellent time and frequency resolutions and thus it is effectively employed in numerous applications in the condition monitoring of machinery. The aim and the innovation of this work regards SPWVD utilization to study turbomachinery behavior in detail in order to identify incipient surge conditions in the centrifugal compressor starting from operational vibrational responses measured at significant plant locations. The so developed investigation allows us to assess the reliability of this innovative technique with respect to conventional ones in this field of research, highlighting at the same time its qualities and drawbacks in detecting fluid machinery unstable behavior. To this aim, an experimental campaign has been conducted on a T100 microturbine connected with several volume sizes and this has allowed to assess diagnostic technique reliability in plant configurations with different dynamic properties. The results show that SPWVD is able to successfully identify system evolution toward an unstable condition, by recognizing different levels and features of the particular kind of instability that is going to take place within the plant. Instability phenomena regarding rolling bearings have also been identified and their interaction with surge onset has been investigated for diagnostic purposes.
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      Incipient Surge Detection in Large Volume Energy Systems Based on Wigner–Ville Distribution Evaluated on Vibration Signals

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4277471
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    contributor authorChamp, Carlo Alberto Niccolini Marmont Du Haut
    contributor authorSilvestri, Paolo
    contributor authorFerrari, Mario Luigi
    contributor authorMassardo, Aristide Fausto
    date accessioned2022-02-05T22:24:12Z
    date available2022-02-05T22:24:12Z
    date copyright3/31/2021 12:00:00 AM
    date issued2021
    identifier issn0742-4795
    identifier othergtp_143_07_071014.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4277471
    description abstractCompressor response investigation in nearly unstable operating conditions, like rotating stall and incipient surge, is a challenging topic nowadays in the turbomachinery research field. Indeed, turbines connected with large-size volumes are affected by critical issues related to surge prevention, particularly during transient operations. Advanced signal-processing operations conducted on vibrational responses provide an insight into possible diagnostic and predictive solutions which can be derived from accelerometer measurements. Indeed, vibrational investigation is largely employed in rotating-machine diagnostics together with time-frequency analysis such as smoothed pseudo-Wigner Ville (SPWVD) time-frequency distribution (TFD) considered in this paper. It is characterized by excellent time and frequency resolutions and thus it is effectively employed in numerous applications in the condition monitoring of machinery. The aim and the innovation of this work regards SPWVD utilization to study turbomachinery behavior in detail in order to identify incipient surge conditions in the centrifugal compressor starting from operational vibrational responses measured at significant plant locations. The so developed investigation allows us to assess the reliability of this innovative technique with respect to conventional ones in this field of research, highlighting at the same time its qualities and drawbacks in detecting fluid machinery unstable behavior. To this aim, an experimental campaign has been conducted on a T100 microturbine connected with several volume sizes and this has allowed to assess diagnostic technique reliability in plant configurations with different dynamic properties. The results show that SPWVD is able to successfully identify system evolution toward an unstable condition, by recognizing different levels and features of the particular kind of instability that is going to take place within the plant. Instability phenomena regarding rolling bearings have also been identified and their interaction with surge onset has been investigated for diagnostic purposes.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleIncipient Surge Detection in Large Volume Energy Systems Based on Wigner–Ville Distribution Evaluated on Vibration Signals
    typeJournal Paper
    journal volume143
    journal issue7
    journal titleJournal of Engineering for Gas Turbines and Power
    identifier doi10.1115/1.4049855
    journal fristpage071014-1
    journal lastpage071014-14
    page14
    treeJournal of Engineering for Gas Turbines and Power:;2021:;volume( 143 ):;issue: 007
    contenttypeFulltext
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