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    Robust Optimal Positioning of Strain Gages on Blades

    Source: Journal of Turbomachinery:;2003:;volume( 125 ):;issue: 001::page 155
    Author:
    Marc P. Mignolet
    ,
    Byeong-Keun Choi
    DOI: 10.1115/1.1509076
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper focuses on the formulation and validation of an automatic strategy for the selection of the locations and directions of strain gages to capture at best the modal response of a blade in a series of modes. These locations and directions are selected to render the strain measurements as robust as possible with respect to random mispositioning of the gages and gage failures. The approach relies on the evaluation of the signal-to-noise ratios of the gage measurements from finite element strain data and includes the effects of gage size. A genetic algorithm is used to find the strain gage locations-directions that lead to the largest possible value of the smallest modal strain signal-to-noise ratio, in the absence of gage failure, or of its expected value when gage failure is possible. A fan blade is used to exemplify the applicability of the proposed methodology and to demonstrate the effects of the essential parameters of the problem, i.e., the mispositioning level, the probability of gage failure, and the number of gages.
    keyword(s): Gages , Signal to noise ratio , Blades , Failure , Probability , Strain gages , Optimization , Genetic algorithms AND Finite element analysis ,
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      Robust Optimal Positioning of Strain Gages on Blades

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    http://yetl.yabesh.ir/yetl1/handle/yetl/129306
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    contributor authorMarc P. Mignolet
    contributor authorByeong-Keun Choi
    date accessioned2017-05-09T00:11:47Z
    date available2017-05-09T00:11:47Z
    date copyrightJanuary, 2003
    date issued2003
    identifier issn0889-504X
    identifier otherJOTUEI-28700#155_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/129306
    description abstractThis paper focuses on the formulation and validation of an automatic strategy for the selection of the locations and directions of strain gages to capture at best the modal response of a blade in a series of modes. These locations and directions are selected to render the strain measurements as robust as possible with respect to random mispositioning of the gages and gage failures. The approach relies on the evaluation of the signal-to-noise ratios of the gage measurements from finite element strain data and includes the effects of gage size. A genetic algorithm is used to find the strain gage locations-directions that lead to the largest possible value of the smallest modal strain signal-to-noise ratio, in the absence of gage failure, or of its expected value when gage failure is possible. A fan blade is used to exemplify the applicability of the proposed methodology and to demonstrate the effects of the essential parameters of the problem, i.e., the mispositioning level, the probability of gage failure, and the number of gages.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleRobust Optimal Positioning of Strain Gages on Blades
    typeJournal Paper
    journal volume125
    journal issue1
    journal titleJournal of Turbomachinery
    identifier doi10.1115/1.1509076
    journal fristpage155
    journal lastpage164
    identifier eissn1528-8900
    keywordsGages
    keywordsSignal to noise ratio
    keywordsBlades
    keywordsFailure
    keywordsProbability
    keywordsStrain gages
    keywordsOptimization
    keywordsGenetic algorithms AND Finite element analysis
    treeJournal of Turbomachinery:;2003:;volume( 125 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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