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    A Novel Multiscale Petal Pattern and CNN-BiLSTM Structure for Acoustic Signal-Based Rolling Bearing Fault Diagnosis 

    Source: Journal of Vibration and Acoustics:;2026:;volume( 148 ):;issue:001:;page 564
    Author(s): Feiyun, Cong; Qiming, Bo; Yulu, Fan; Qihao, Zhou; Weizheng, Zhao; Yi, Zhou
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. Rolling bearings play a critical role in industries such as wind power, rail transit, and aerospace, where their health directly impacts equipment reliability. Despite the growing use of machine learning for fault ...
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