37 / 2025-05-12 16:09:21
Feature Extraction of Machine Faults Based on Envelope Matrixes of Source Signals
blind source separation; envelope demodulation; singular value decomposition; feature extraction
全文待审
Xiaohu Chen / Quanzhou University of Information Engineering
Wenfeng Wu / Quanzhou University of Information Engineering
In mechanical signal processing, vibration signals are mostly amplitude-modulated or frequency-modulated signals. Moreover sensor signals are always the aggregates or mixtures of independent vibration sources generated by different mechanical components. The BSS algorithms can recover or separate independent vibration sources from sensor signals. The envelope demodulation analysis is known as an effective approach to process modulated signals. Thus a feature extraction method based on envelope matrixes of source signals is presented to be applied to performing feature extraction and fault diagnosis of rotating machines. The experimental results of hydraulic gear pump indicate that feature information extracted from envelope matrixes of source signals can accurately represent the machine states.
重要日期
  • 会议日期

    08月01日

    2025

    08月04日

    2025

  • 06月15日 2025

    初稿截稿日期

主办单位
中国机械工程学会设备智能运维分会
承办单位
新疆大学
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