Bearing Fault Detection Based on Order Tracking and Complex Morlet Wavelet Transform

A new approach to bearing fault diagnosis under run-up based on order tracking and continuous complex Morlet wavelet transform demodulation technique is presented. The non-stationary vibration signal is first transformed from the time domain transient signal to angle domain stationary one using order tracking technique. Then the continuous complex Morlet wavelet transform is applied to the angle domain re-sampled signal and the complex Morlet wavelet transform based multi-scale envelope spectrum is obtained. The experimental result shows that order tracking and complex Morlet wavelet transform based multi-scale envelope spectrum can effectively diagnosis bearing localized fault.

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Bearing Fault Detection Based on Multi-Scale Laplace Wavelet Transform Spectrum

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.739.413 ◽

2013 ◽

Vol 739 ◽

pp. 413-417

Author(s):

Ya Ning Wang

Keyword(s):

Wavelet Transform ◽

Vibration Signal ◽

Rolling Bearing ◽

Three Dimensions ◽

Noise Condition ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Multi Scale ◽

Integrated Technique ◽

Envelope Spectrum

Laplace wavelet transform is self-adaptive to non-stationary and non-linear signal, which can detect the singularity characteristic of a signal precisely under strong background noise condition. A new method of bearing fault diagnosis based on multi-scale Laplace wavelet transform spectrum is proposed. The multi scale Laplace wavelet transform spectrum technique combines the advantages of Laplace wavelet transform, envelope spectrum and three dimensions color map into one integrated technique. The bearing fault vibration signal is firstly decomposed using Laplace wavelet transform. In the end, the multi scale Laplace wavelet transform spectrum is obtained and the characteristics of the bearing fault can be recognized according to the multi-scale Laplace wavelet transform spectrum. The proposed method has been verified by vibration signals obtained from rolling bearing with inner race fault.

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Estimation of damping in rotors using complex morlet wavelet transform

Journal of Vibration and Control ◽

10.1177/1077546312474678 ◽

2013 ◽

Vol 20 (16) ◽

pp. 2536-2551 ◽

Cited By ~ 5

Author(s):

N Harish Chandra ◽

A Seshadri Sekhar

Keyword(s):

Wavelet Transform ◽

Morlet Wavelet ◽

Complex Morlet Wavelet ◽

Morlet Wavelet Transform

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Study on Modal Parameters Identification Based on Stratified Sampling and Complex Morlet Wavelet Transform

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.305.428 ◽

2011 ◽

Vol 305 ◽

pp. 428-433

Author(s):

Yong Hua Jiang ◽

Hong Xu ◽

Guang Ming Cheng ◽

Jian Ming Wen ◽

Ji Jie Ma

Keyword(s):

Wavelet Transform ◽

Maximum Energy ◽

Morlet Wavelet ◽

Stratified Sampling ◽

Parameters Identification ◽

Modal Parameters ◽

Engineering Structures ◽

Modal Parameters Identification ◽

Complex Morlet Wavelet ◽

Morlet Wavelet Transform

The natural frequency of large engineering structures are very low and closely, and it’s very difficult to excite the structures by exciter, in order to identify the modal parameters of large engineering structures, a novel modal parameters identification method based on stratified sampling and complex Morlet wavelet transform is proposed. In order to improve the precision of sampling, stratified sampling, which replaces the random sampling, is applied on random decrement method for extracting the free decrement response signal, and a method is introduced to determine the sample layer weights based on fitting deviation and sample size. In order to improve the identification precision of closely spaced modals, a method is developed to adaptive select the bandwidth parameter and scale parameter of the Morlet wavelet based on the principle of minimum wavelet energy entropy and maximum energy. The analysis of data from the model test of Chongqing Chaotianmen bridge show that, the method is effective to identify the low and closely modal parameters.

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Multi-Scale Hermitian Wavelet Envelope Spectrum Based Bearing Fault Detection

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.459.132 ◽

2012 ◽

Vol 459 ◽

pp. 132-136 ◽

Cited By ~ 3

Author(s):

Hui Li

Keyword(s):

Wavelet Transform ◽

Vibration Signal ◽

Rolling Bearing ◽

Three Dimensions ◽

Noise Condition ◽

Outer Race ◽

Bearing Fault ◽

Multi Scale ◽

Integrated Technique ◽

Envelope Spectrum

Hermitian wavelet is a low-oscillation, complex valued wavelet, which can detect the singularity characteristic of a signal precisely under strong background noise condition. A new method of bearing fault diagnosis based on multi-scale Hermitian wavelet envelope spectrum is proposed. The multi scale Hermitian wavelet envelope spectrum technique combines the advantages of Hermitian wavelet transform, envelope spectrum and three dimensions color map into one integrated technique. The bearing fault vibration signal is firstly decomposed using Hermitian continuous wavelet transform. Then the real and imaginary parts are obtained. In the end, the multi scale Hermitian wavelet envelope spectrum is obtained and the characteristics of the bearing fault can be recognized according to the multi-scale Hermitian wavelet envelope spectrum. The proposed method has been proved by vibration signals obtained from rolling bearing with inner or outer race fault. The experimental results verified the effectiveness of the proposed method.

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