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Autocorrelation-enhanced Envelope Spectrum for Bearing Fault Diagnosis
编号：43 访问权限：仅限参会人 更新：2025-11-10 11:20:15 浏览：29次 口头报告

报告开始：2025年11月22日 14:20（Asia/Shanghai）

报告时间：20min

所在会场：[S4] Parallel Session 4 [S4-1] Parallel Session 4-22 PM

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摘要
Spectral coherence (SCoh), composed of both spectral frequency and cyclic frequency, is effective in capturing bearing resonance bands and fault characteristic frequencies (FCF) simultaneously. However, most existing SCoh-based approaches rely solely on spectral frequency while neglecting cyclic frequency, making it difficult to distinguish fault information from interference. To address this limitation, a novel autocorrelation-enhanced envelope spectrum (AEES) method is proposed. First, an autocorrelation-based feature extraction strategy is introduced, where the autocorrelation of the SCoh is calculated to highlight fault-related information along both spectral and cyclic frequency axes. Next, an autocorrelation enhancement matrix is constructed to integrate these features, thereby strengthening FCF and suppressing noise. Finally, this matrix is applied to enhance the original coherence spectrum, yielding the AEES. Both simulation and experimental studies demonstrate that AEES outperforms existing techniques, offering more reliable fault detection performance.
关键词
Spectral coherence,autocorrelation-enhanced envelope spectrum,fault characteristic frequencies,autocorrelation enhancement matrix
报告人
涛 孟
Master 苏州大学

稿件作者
涛 孟 苏州大学
星星 江 苏州大学
爽 王 Suzhou City University
传仓 丁 苏州大学
一樊 皇甫 苏州大学
忠奎 朱 苏州大学
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重要日期

  • 会议日期

    11月21日

    2025

    至

    11月23日

    2025

  • 10月20日 2025

    初稿截稿日期

  • 11月23日 2025

    注册截止日期

主办单位
IEEE Instrumentation and Measurement Society
South China University of Technology
承办单位
South China University of Technology
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