Investigation Frequency Resolution Effect on Hilbert Spectrum for Instantaneous Vibration Impact Signal Analysis

Hong Kun Li; Zhi Xin Zhang

doi:10.4028/www.scientific.net/KEM.413-414.135

Paper Titles

Probability of Fault Location in a Beam Structure Using the Spectral Element Method and the Spatial Wavelet Analysis
p.101

Semi-Quantitative Analysis of Defect in Pipelines through the Use of Technique of Ultrasonic Guided Waves
p.109

Identification of Crack Parameters in a Cantilever Beam under Uncertain End Conditions
p.117

Structural Damage Detection Accounting for Loss of Data in Wireless Network Sensors
p.125

Investigation Frequency Resolution Effect on Hilbert Spectrum for Instantaneous Vibration Impact Signal Analysis
p.135

Crack Detection in Pipe Structures by Lifting Wavelet Finite Element Method
p.143

Feature Extraction from Spectral Data Using the Bayesian Evidence Framework
p.151

Application of Hilbert-Huang Transform Method on Fault Diagnosis for Wind Turbine Rotor
p.159

Ensemble Empirical Mode Decomposition for Machine Health Diagnosis
p.167

HomeKey Engineering MaterialsKey Engineering Materials Vols. 413-414Investigation Frequency Resolution Effect on...

Investigation Frequency Resolution Effect on Hilbert Spectrum for Instantaneous Vibration Impact Signal Analysis

Abstract:

Instantaneous impact signal analysis investigation and feature extraction have been broadly investigated by many researchers. How to determine an effective time-frequency distribution analysis method is urgent needed. In this paper, Hilbert spectrum frequency resolution is investigated to show signal typical features according to performance estimation model. Different frequency units for a Hilbert spectrum expression will be investigated on the effect of feature analysis in detail. An estimation model will be constructed to determine the best frequency resolution for signal analysis. By using this estimation, frequency resolution can be determined. This model can improve the performance of Hilbert spectrum to show signal features and accuracy for signal analysis and pattern recognition. To testify the effectiveness of this estimation model, numerical simulation will be used as an example to analyze the accuracy of this model. At the same time, different bearing working condition’s pattern recognition based on Hilbert spectrum will be used to testify the effectiveness of this model.

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Periodical:

Key Engineering Materials (Volumes 413-414)

Pages:

135-142

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.413-414.135

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Online since:

June 2009

Authors:

Hong Kun Li, Zhi Xin Zhang

Keywords:

Estimation Model, Frequency Resolution, Hilbert Spectrum, Instantaneous Impact

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