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AR filter + Minimum Entropy Deconvolution for Bearing Fault Diagnosis

version 1.0.0.0 (652 KB) by Santhana Raj
AR Filter by YuleWalker method combined with Minimum Entropy Deconvolution for bearing fault diagnos

2.5K Downloads

Updated 03 May 2013

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This function AR_MED_FILTER takes input SIGNAL with Sampling Frequency, Fs, and applies the Yule Walker method based AR filter. The order if the filter is found by Maximum kurtosis. After the application od AR filter, the signal is passed through Minimum Entropy Deconvolution. This combined AR+MED method brings out the Bearing faults hidden in Noise.

The function plots two figures for AR alone and another for AR+MED
Example:
load('s4.mat');
signal=s4;
Fs=12000;
ar_med_filter(signal,Fs);
The File 's4.mat' is the vibration signal recorded from a OR faulty bearing with a sampling frequency of 12000Hz. The Fault frequency is 161 Hz and is brought out.

This program isa based on the paper:
Sawalhi N, Randall RB and Endo H (2007) The enhancement of fault detection and diagnosis in rolling element bearings using minimum entropy deconvolution combined with spectral kurtosis. Mechanical Systems and Signal Processing. 21:2616-2633

This function is basically written for Bearing fault diagnosis from Vibration signal.

Dont forget to rate or comment on the matlab central site
http://www.mathworks.in/matlabcentral/fileexchange/authors/258518

Author:Santhana Raj.A
https://sites.google.com/site/santhanarajarunachalam/

Cite As

Santhana Raj (2022). AR filter + Minimum Entropy Deconvolution for Bearing Fault Diagnosis (https://www.mathworks.com/matlabcentral/fileexchange/41614-ar-filter-minimum-entropy-deconvolution-for-bearing-fault-diagnosis), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2012a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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