Presentation Details
Autocorrelation-enhanced Envelope Spectrum for Bearing Fault Diagnosis
ID：43
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Updated Time：2025-11-10 11:20:15 Hits：164
Oral Presentation
Start Time：2025-11-22 14:20（Asia/Shanghai）
Duration：20min
Session：S4 Parallel Session 4 »
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Abstract
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.
Keywords
Spectral coherence,autocorrelation-enhanced envelope spectrum,fault characteristic frequencies,autocorrelation enhancement matrix
Speaker
涛 孟
Master 苏州大学Submission Author
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Important Date
-
Conference Date
Nov 21
2025
toNov 23
2025
-
Oct 20 2025
Draft paper submission deadline
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Dec 08 2025
Registration deadline
Sponsored By
IEEE Instrumentation and Measurement Society
South China University of Technology
South China University of Technology
Organized By
South China University of Technology
Contact Information
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