2013Machinery Design and ManufactureRequires access

De-Noising Study of Gearbox Vibration Signal Based on Wavelet Analysis

Jixing Zhang

Open publisher page 0 citations

Abstract

The theory of wavelet transform and the principle of wavelet de-noising are used to carry out the wavelet de-noising for the vibration signals of gearbox and extract feature from noise signals,which is to improve the accuracy of fault diagnosis of gearbox and provide important reference value of early weak fault signal detection gearbox.Through FFT transform of the wavelet,de-noising for artificial signals is carried out and when compared with signals that with not de-noising wavelet and FFT transform,the superiority of the wavelet de-noising method is verified.Finally,through wavelet de-noised process for the actual signal,it is proved that de-noising study is effective on dispel noise.

About this research paper

What this paper is about

The theory of wavelet transform and the principle of wavelet de-noising are used to carry out the wavelet de-noising for the vibration signals of gearbox and extract feature from noise signals,which is to improve the accuracy of fault diagnosis of gearbox and provide important reference value of early weak fault signal detection gearbox.Through FFT transform of the wavelet,de-noising for artificial signals is carried out and when compared with signals that with not de-noising wavelet and FFT transform,the superiority of the wavelet de-noising method is verified.Finally,through wavelet de-noised process for the actual signal,it is proved that de-noising study is effective on dispel noise.

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

The theory of wavelet transform and the principle of wavelet de-noising are used to carry out the wavelet de-noising for the vibration signals of gearbox and extract feature from noise signals,which is to improve the accuracy of fault diagnosis of gearbox and provide important reference value of early weak fault signal detection gearbox.Through FFT transform of the wavelet,de-noising for artificial signals is carried out and when compared with signals that with not de-noising wavelet and FFT transform,the superiority of the wavelet de-noising method is verified.Finally,through wavelet de-noised process for the actual signal,it is proved that de-noising study is effective on dispel noise.

Key concepts: Wavelet, Second-generation wavelet transform, Stationary wavelet transform, Wavelet transform, Discrete wavelet transform, Wavelet packet decomposition, Harmonic wavelet transform, Lifting scheme

Related papers

Back to paper searchBrowse research topicsOriginal source
De-Noising Study of Gearbox Vibration Signal Based on Wavelet Analysis — Research Paper | ScholarLens