Signal Processing by Energy Normalization Method Based on Wavelet Packet

Tao Chen; Xiao Li Xu; Shao Hong Wang

doi:10.4028/www.scientific.net/KEM.413-414.613

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Fault Diagnostics Based on Pattern Spectrum Entropy and Proximal Support Vector Machine
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Signal Processing by Energy Normalization Method Based on Wavelet Packet
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Application of Cyclic Correlation Analysis to Gear Damage Detection
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Feature Extraction for Damage Detection in Structures Based on Nonlinearity Analysis
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HomeKey Engineering MaterialsKey Engineering Materials Vols. 413-414Signal Processing by Energy Normalization Method...

Signal Processing by Energy Normalization Method Based on Wavelet Packet

Abstract:

Fault diagnosis is a key technology to ensure safe and reliable operation of large electromechanical equipments. Fault feature extraction is important in fault diagnosis process. For non-stationary vibration signal, energy normalization method based on wavelet packet is used to make signal processing with signals decomposed into different frequency bands to perform energy normalization process in corresponding frequency band so as to extract fault feature. Flue Gas Turbine is chosen as research object and analysis shows that energy normalization processing method based on wavelet packet can effectively extract non-stationary signal characteristic parameters and make effective nondestructive testing analysis of equipments condition.

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Periodical:

Key Engineering Materials (Volumes 413-414)

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613-619

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.413-414.613

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Online since:

June 2009

Authors:

Tao Chen, Xiao Li Xu, Shao Hong Wang

Keywords:

Energy Normalization, Feature Extraction, Signal Processing, Wavelet Packet (WP)

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