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Bearings are crucial components within electromechanical systems, particularly in intelligent transport systems such as autonomous vehicles, high-speed trains, and drones (Li et al. in IEEE Trans Circuits Syst II-Express Briefs 71:1196–1200, 2024; Liu et al. in Nonlinear Dyn 97:1403–1424, 2019; Xie et al. in Appl Sci-Basel 13:4790, 2023). These applications demand high performance from bearings, as long periods of continuous, high-speed operation can lead to failures due to fatigue wear (Chen et al. in J Eng Des 1–24, 2023; Shi et al. in IEEE Sens J 22:14228–14236, 2022). This context underscores the importance of feature extraction from bearing vibration signals for the development of PHM in IES. It enables early fault detection and prevents potential system failures.

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Feature Extraction of Bearing Vibration Signal

  • 章节

  • 发表日期：

    2025年

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  • Hui Liu,
  • Fang Cheng,
  • Yanfei Li

摘要

Bearings are crucial components within electromechanical systems, particularly in intelligent transport systems such as autonomous vehicles, high-speed trains, and drones (Li et al. in IEEE Trans Circuits Syst II-Express Briefs 71:1196–1200, 2024; Liu et al. in Nonlinear Dyn 97:1403–1424, 2019; Xie et al. in Appl Sci-Basel 13:4790, 2023). These applications demand high performance from bearings, as long periods of continuous, high-speed operation can lead to failures due to fatigue wear (Chen et al. in J Eng Des 1–24, 2023; Shi et al. in IEEE Sens J 22:14228–14236, 2022). This context underscores the importance of feature extraction from bearing vibration signals for the development of PHM in IES. It enables early fault detection and prevents potential system failures.