2009Microcomputer InformationRequires access

Fault Feature Extraction of Gearbox Based on Wavelet and Wavelet Package

Zhang Qin-zhao

Open publisher page 0 citations

Abstract

In this paper,a double filtering algorithm is proposed for de-noising of malfunction gearbox vibration signal,which is pro-duced by combining adaptive wavelet transform de-noising and wavelet De-noising by threshold.The de-noising process of this algo-rithm consist of two phases,at first phase,de-noising is implemented by adaptive wavelet transform.At the second phase,the clas-sical wavelet de -noising algorithm by threshold is used for the signal de -noising.At last,the de -noised signal is decomposed by wavelet package.The power of frequency bands is extracted as fault feature vector.

About this research paper

What this paper is about

In this paper,a double filtering algorithm is proposed for de-noising of malfunction gearbox vibration signal,which is pro-duced by combining adaptive wavelet transform de-noising and wavelet De-noising by threshold.The de-noising process of this algo-rithm consist of two phases,at first phase,de-noising is implemented by adaptive wavelet transform.At the second phase,the clas-sical wavelet de -noising algorithm by threshold is used for the signal de -noising.At last,the de -noised signal is decomposed by wavelet package.The power of frequency bands is extracted as fault feature vector.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In this paper,a double filtering algorithm is proposed for de-noising of malfunction gearbox vibration signal,which is pro-duced by combining adaptive wavelet transform de-noising and wavelet De-noising by threshold.The de-noising process of this algo-rithm consist of two phases,at first phase,de-noising is implemented by adaptive wavelet transform.At the second phase,the clas-sical wavelet de -noising algorithm by threshold is used for the signal de -noising.At last,the de -noised signal is decomposed by wavelet package.The power of frequency bands is extracted as fault feature vector.

Key concepts: Stationary wavelet transform, Computer science, Second-generation wavelet transform, Wavelet, Wavelet packet decomposition, Pattern recognition (psychology), Lifting scheme, Discrete wavelet transform

Related papers

Back to paper searchBrowse research topicsOriginal source
Fault Feature Extraction of Gearbox Based on Wavelet and Wavelet Package — Research Paper | ScholarLens