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Browsing by Author Bayu Adhi, Tama

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    • Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals
    Authors: Bayu Adhi, Tama; Malinda, Vania; Seungchul, Lee;  Advisor: -;  Co-Author: - (2022)

    Vibration measurement and monitoring are essential in a wide variety of applications. Vibration measurements are critical for diagnosing industrial machinery malfunctions because they provide information about the condition of the rotating equipment. Vibration analysis is considered the most effective method for predictive maintenance because it is used to troubleshoot instantaneous faults as well as periodic maintenance. Numerous studies conducted in this vein have been published in a variety of outlets. This review documents data-driven and recently published deep learning techniques for vibration-based condition monitoring. Numerous studies were obtained from two reputable indexing...