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Envelope Detction for Signal Analysis

version 1.0.0.0 (649 KB) by Santhana Raj
Computes the envelope of the signal by two methods: 1.LPF method 2.Hilbert Transform

26.5K Downloads

Updated 18 Jul 2012

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y=envelope(Signal,Fs) computes the Envelope of the input Signal with a Sampling Frequency 'Fs' and gives the envelope signal by Hilbert transform method as the output y.
The function computes the envelope of the signal by two different methods.

First Method: By Using Low Pass Filter. The Signal is Squared, passed
through LPF and then taken square root.
Second Method: Using Hilbert Transform. Hilbert Transform is taken using the inbuilt function in Matlab

The Function Displays the FFT of the original signal and also the FFT of
the envelope signal by both the methods

The function basically is for computing Envelope Signal for Condition Monitoring of rotating equipments by vibration based bearing fault diagnosis.

Example:
load('s4.mat');
signal=s4;
Fs=12000;
envelope(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 161Hz and is brought out in envelope signal which was hidden in the original FFT.

Don't 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). Envelope Detction for Signal Analysis (https://www.mathworks.com/matlabcentral/fileexchange/37545-envelope-detction-for-signal-analysis), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2011b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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