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• W4377151567 abstract "Abstract: Bearings with rolling elements are a typical part of rotating machinery. Vibration analysis is one of them that is frequently used to gauge the general wellbeing and condition of rotating machinery. Finding bearing defects is important in the pursuit of extremely reliable operations. The main relationship between vibration signal-based features and measured signals is that they can be used in order to assess the condition of a bearing. In order to examine the effectiveness of non-parametric harmonic approaches for defect identification using real motor data, the study recommends utilizing Thomson's Multitaper Estimation and Welch Periodogram Estimation. The researches show that this approach can identify outer race faults and inner race fault. The conclusive evidence points to Thomson's Multitaper Periodogram Estimation method as a successful technique for bearing fault identification." @default.
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• W4377151567 date "2023-05-31" @default.
• W4377151567 modified "2023-10-18" @default.
• W4377151567 title "Comparison of Signal Processing Methods for Bearing Fault Detection" @default.
• W4377151567 doi "https://doi.org/10.22214/ijraset.2023.51717" @default.
• W4377151567 hasPublicationYear "2023" @default.
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