Work

Bearing Fault Diagnosis Based on Optimal Morlet Wavelet

Year: 2009

Type: article

Abstract: A fault diagnosis method based on Morlet wavelet and thresholding denoising is proposed to diagnose rolling bearing fault in high noise condition.The optimal Morlet wavelet base function is determined according to kurtosis maximization criteria.The continuous wavelet transformation and soft threshold methods are used to denoise vibration signals.Experiments show that the proposed method is valid for de-noising,and it can effectively extract fault feature from vibration signals.

Source: Bearing Jurnal Penelitian dan Kajian Teknik Sipil

Author: Zhang Yu-b

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W2385983541

FWCI:

Cites:

Cited by: 2

Related to: 10