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    Detection of Intrinsic Instabilities From Pressure Traces of Spherically Expanding Flames Using Time Series Classification

    Source: ASME Open Journal of Engineering:;2025:;volume( 004 )::page 44501-1
    Author:
    Nawaz, Behlol
    ,
    Nasim, Md Nayer
    ,
    Das, Shubhra Kanti
    ,
    Ma, Ruizhe
    ,
    Mack, J. Hunter
    DOI: 10.1115/1.4067445
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Intrinsic combustion instabilities manifest as wrinkles or cellular structures on spherically expanding flame fronts. They are a fundamental aspect of the physics of flames and can be practically significant for some mixtures, such as those containing hydrogen (H2). In the case of spherical flames, they are studied visually using high-speed cameras, while the use of pressure traces is significantly less explored. This work investigates the use of time series classification (TSC) algorithms for detecting flame wrinkling in spherical flames using pressure traces recorded in a constant volume combustion chamber (CVCC). Some algorithms are observed to have very high classification accuracies (>90%), with 94.5% for the ROCKET (Random Convolutional Kernel Transform) classifier, 92.5% for HIVE-COTE (Hierarchical Vote Collective of Transformation-based Ensembles), and 96.1% for 1-nearest neighbor (1-NN) with DTW (dynamic time warping). The approach potentially provides an alternative methodology for instability detection, particularly where optical access is unavailable.
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      Detection of Intrinsic Instabilities From Pressure Traces of Spherically Expanding Flames Using Time Series Classification

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4305979
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    • ASME Open Journal of Engineering

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    contributor authorNawaz, Behlol
    contributor authorNasim, Md Nayer
    contributor authorDas, Shubhra Kanti
    contributor authorMa, Ruizhe
    contributor authorMack, J. Hunter
    date accessioned2025-04-21T10:20:31Z
    date available2025-04-21T10:20:31Z
    date copyright1/6/2025 12:00:00 AM
    date issued2025
    identifier issn2770-3495
    identifier otheraoje_4_044501.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4305979
    description abstractIntrinsic combustion instabilities manifest as wrinkles or cellular structures on spherically expanding flame fronts. They are a fundamental aspect of the physics of flames and can be practically significant for some mixtures, such as those containing hydrogen (H2). In the case of spherical flames, they are studied visually using high-speed cameras, while the use of pressure traces is significantly less explored. This work investigates the use of time series classification (TSC) algorithms for detecting flame wrinkling in spherical flames using pressure traces recorded in a constant volume combustion chamber (CVCC). Some algorithms are observed to have very high classification accuracies (>90%), with 94.5% for the ROCKET (Random Convolutional Kernel Transform) classifier, 92.5% for HIVE-COTE (Hierarchical Vote Collective of Transformation-based Ensembles), and 96.1% for 1-nearest neighbor (1-NN) with DTW (dynamic time warping). The approach potentially provides an alternative methodology for instability detection, particularly where optical access is unavailable.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDetection of Intrinsic Instabilities From Pressure Traces of Spherically Expanding Flames Using Time Series Classification
    typeJournal Paper
    journal volume4
    journal titleASME Open Journal of Engineering
    identifier doi10.1115/1.4067445
    journal fristpage44501-1
    journal lastpage44501-6
    page6
    treeASME Open Journal of Engineering:;2025:;volume( 004 )
    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
    yabeshDSpacePersian