Feature Extraction Technology for Rolling Bearings Based on Local Tangent Space Alignment

Zhi Wen; Chen Lu; Hong Mei Liu

doi:10.4028/www.scientific.net/AMM.764-765.274

Paper Titles

Dynamics Analysis of Energy Absorbing Device Based on Damped Dynamics Vibration Absorber
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Effective Numerical Analysis Method for Roll-to-Roll System Having the Large Nonlinearity Property
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Enhanced Fault Diagnosis of Bearings in Gearbox Based on Lucy-Richardson Deconvolution and Discussion
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Estimation for Temperature Distribution of PET Preform Surface under Multiple Lamps
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Feature Extraction Technology for Rolling Bearings Based on Local Tangent Space Alignment
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FEM Simulation and Experimental Verification on Rotating Compression Forming of Double-Layer Clad Ring Considering Shear Friction
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Finite Element Analysis on Natural Properties of a Micro Drill with Ultrasonic Vibration
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Finite-Element Analysis of the Magnetostatic Field of a Coaxial Magnetic Gear Device
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Health Assessment and Fault Diagnosis for the Heat Exchanger of the Aircraft Environmental Control System Based on STF-LR
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 764-765Feature Extraction Technology for Rolling Bearings...

Feature Extraction Technology for Rolling Bearings Based on Local Tangent Space Alignment

Abstract:

Health assessment and fault diagnosis for rolling bearings mostly adopt traditional methods, such as time-frequency, spectral, and wavelet packet analyses, to extract the feature vector. These methods are suitable for processing data with a linear structure. However, for the non-linear and non-stationary signal, the result of these methods is not ideal. Thus, this study proposes a suitable method to extract the feature vector in nonlinear signals. Local tangent space alignment of a manifold algorithm is employed to extract the feature vector from the rolling bearings. Results verify the advantage of the manifold algorithm for non-linear and non-stationary signals.

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Periodical:

Applied Mechanics and Materials (Volumes 764-765)

Pages:

274-279

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.764-765.274

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Online since:

May 2015

Authors:

Zhi Wen, Chen Lu, Hong Mei Liu*

Keywords:

Feature Extraction, Local Tangent Space Alignment Method, Rolling Bearings

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* - Corresponding Author

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