Pipeline leak diagnosis using multisource multiscale attention entropy and enhanced least square twin support vector machine
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DOI: 10.1088/1361-6501/adb7f9
Abstract: To achieve rapid and precise identification of water supply pipeline leakage faults, this study introduces a diagnostic framework that integrates multisource multiscale attention entropy (MMATE), an enhanced least-squares twin support vector machine (ELSTSVM), and an… read more here.
Keywords: vector; twin support; multisource multiscale; enhanced least ... See more keywords