A Method of Signal-Noise Separation from Measured Vibration Response Signals

Xing Xian Bao; Cui Lin Li

doi:10.4028/www.scientific.net/AMR.199-200.909

Paper Titles

Decoupling Free Vibration System of Bridge Section Model
p.891

Application of Acoustic Emission on Fault Diagnosis of Rolling Element Bearing
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Gear Local Fault Diagnosis with Empirical Mode Decomposition and Hilbert Huang Transformation
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Study on Fault Diagnosis of Rotating Machinery Based on Lyapunov Dimension
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A Method of Signal-Noise Separation from Measured Vibration Response Signals
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Estimation of Random Sonic Fatigue Life Based on Peak Probability Density of Von Mises Stress
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Amplitude Incremental Complementary Energy Principle for Nonlinear Vibration of Elastic System
p.922

Multichannel Vibration Fault Diagnosis for Rolling Bearings Based on QPCA and SVM
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Rolling Element Bearing Fault Detection Using Redundant Second Generation Wavelet Packet Transform
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 199-200A Method of Signal-Noise Separation from Measured...

A Method of Signal-Noise Separation from Measured Vibration Response Signals

Abstract:

Measured vibration response signals are inevitably contaminated with noise originating from test environment as well as electronic devices. This situation often leads to serious difficulties in many applications as they require high-quality measured data. This paper presents a signal-noise separation method for measured impulsive response functions (IRFs) based on structured low rank approximation (SLRA). The proposed method was tested with a steel cantilever beam, which was subjected to impulsive excitation. Gabor transform was also employed to process measured signals. The results show that this method can give a reliable separation of signal and noise, which will enhance the accuracy of various applications that rely on measured signals.

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Periodical:

Advanced Materials Research (Volumes 199-200)

Pages:

909-912

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.199-200.909

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Online since:

February 2011

Authors:

Xing Xian Bao, Cui Lin Li

Keywords:

Signal-Noise Separation, Singular Value Decomposition (SVD), Structured Low Rank Approximation, Vibration Measuring

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