Defects Diagnosis of Bearing by Means of Acoustic Emission and Continuous Wavelet Transform

Ru Jiang Hao; Zhi Peng Feng; Fu Lei Chu

doi:10.4028/www.scientific.net/KEM.413-414.651

Paper Titles

Application of Cyclic Correlation Analysis to Gear Damage Detection
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Diagnosis of Rolling Elements Bearing Based on Inverse Autoregressive Filter
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Time-Varying Output-Only Identification of a Cracked Beam
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Defects Diagnosis of Bearing by Means of Acoustic Emission and Continuous Wavelet Transform
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Damage Identification Using Response Surface Methodology
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Simulations of a Dual-Rotor System with Local Rub-Impacts Based on Rigid-Flexible Multi-Body Model
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HomeKey Engineering MaterialsKey Engineering Materials Vols. 413-414Defects Diagnosis of Bearing by Means of Acoustic...

Defects Diagnosis of Bearing by Means of Acoustic Emission and Continuous Wavelet Transform

Abstract:

The acoustic emission signals of rolling bearing with different type of defects are de-noised and illustrated by the continuous wavelet transform and scalogram. Morlet wavelet function is selected and the wavelet parameters are optimized based on the principle of minimal wavelet entropy. The soft-threshold de-noising is used to filter the wavelet transform coefficients. The de-noised signals obtained by reconstructing the wavelet coefficients show the obvious impulsive features. Based on the optimized waveform parameters, the wavelet scalogram is used to analyze the real AE signal from the defective rolling bearing in experimental test rig. The results indicate that the proposed method is useful and efficient for signal purification and features extraction.

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Periodical:

Key Engineering Materials (Volumes 413-414)

Pages:

651-657

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.413-414.651

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Online since:

June 2009

Authors:

Ru Jiang Hao, Zhi Peng Feng, Fu Lei Chu

Keywords:

Acoustic Emission (AE), Continuous Wavelet Transform, Defect Diagnosis, Signal Purification

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