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    Multidimensional Diagnostics of Turbine Cavitation1

    Source: Journal of Fluids Engineering:;2002:;volume( 124 ):;issue: 004::page 943
    Author:
    Branko Bajic
    ,
    Managing Director
    DOI: 10.1115/1.1511162
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A novel technique for vibro-acoustical diagnostics of turbine cavitation is introduced and its use demonstrated on a Francis turbine. The technique enables identification of different cavitation mechanisms functioning in a turbine and delivers detailed turbine cavitation characteristics, for each of the mechanisms or for the total cavitation. The characteristics specify the contribution of every critical turbine part to the cavitation intensity. Typical diagnostic results: (1) enable optimization of turbine operation with respect to cavitation erosion; (2) show how a turbine’s cavitation behavior can be improved; and (3) form the basis for setting up a high-sensitivity, reliable cavitation monitoring system.
    keyword(s): Cavitation , Turbines , Mechanisms , Noise (Sound) , Blades AND Acoustics ,
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      Multidimensional Diagnostics of Turbine Cavitation1

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    https://yetl.yabesh.ir/yetl1/handle/yetl/126898
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    contributor authorBranko Bajic
    contributor authorManaging Director
    date accessioned2017-05-09T00:07:39Z
    date available2017-05-09T00:07:39Z
    date copyrightDecember, 2002
    date issued2002
    identifier issn0098-2202
    identifier otherJFEGA4-27179#943_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/126898
    description abstractA novel technique for vibro-acoustical diagnostics of turbine cavitation is introduced and its use demonstrated on a Francis turbine. The technique enables identification of different cavitation mechanisms functioning in a turbine and delivers detailed turbine cavitation characteristics, for each of the mechanisms or for the total cavitation. The characteristics specify the contribution of every critical turbine part to the cavitation intensity. Typical diagnostic results: (1) enable optimization of turbine operation with respect to cavitation erosion; (2) show how a turbine’s cavitation behavior can be improved; and (3) form the basis for setting up a high-sensitivity, reliable cavitation monitoring system.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleMultidimensional Diagnostics of Turbine Cavitation1
    typeJournal Paper
    journal volume124
    journal issue4
    journal titleJournal of Fluids Engineering
    identifier doi10.1115/1.1511162
    journal fristpage943
    journal lastpage950
    identifier eissn1528-901X
    keywordsCavitation
    keywordsTurbines
    keywordsMechanisms
    keywordsNoise (Sound)
    keywordsBlades AND Acoustics
    treeJournal of Fluids Engineering:;2002:;volume( 124 ):;issue: 004
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
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    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian