# How to find out the amplitude and duration of a sine wave of different amplitudes?

12 views (last 30 days)

Show older comments

Hi How to find out the amplitude and duration of a sine wave of different amplitudes?

Consider a voltage sag ie, a 50hz signal of amplitude less than the normal one.I have to find out the amplitude and duration at wich this disturbance occurs.

I have read some articles which gives some information that we can extract time and frequency information using wavelets db4 using multi resolution analysis .As i am a beginner i have just a rough idea about the work.Can anyone please direct me to accomplish my works?

Thanks

### Answers (4)

William Rose
on 20 Feb 2024

I would not use wavelets. , I would use stft().

Make a signal which is 3 seconds long. The frequency is 50 Hz. The amplitude is 230 V rms (i.e. peak amplitude=325 V). The peak amplitude dips to 275 V for 1 second in the middle of the 3 second long signal.

fs=1000; % sampling rate (Hz)

t=0:1/fs:3-1/fs; % time (s)

f=50; % frequency (Hz)

a1=325; a2=275; % amplitude (V)

x=a1*sin(2*pi*f*t); % signal

x(t>=1 & t<2)=a2*sin(2*pi*f*t(t>=1 & t<2));

Plot the signal versus time.

plot(t,x,'-r');

grid on; xlabel('Time (s)'); ylabel('Voltage (V)');

The plot above shows that the amplitude is lower from t=1 to t=2.

Compute the time-varying Fourier transform, and plot it:

nfft=100; % number of points to use for FFT

[s,f1,t1]=stft(x,fs,Window=ones(1,nfft),OverlapLength=nfft/2,FFTLength=nfft,FrequencyRange="onesided");

% the STFT scales like nfft/2, so we adjust the plotted value accordingly

surf(t1,f1,abs(s)/(nfft/2));

colorbar; ylim([0,100])

xlabel('Time (s)'); ylabel('Frequency (Hz)'); zlabel('Amplitude')

Plot the ampltude of the STFT for frequency=50, as a function of time. This means plotting the amplitude along the top ridge of the 3D plot above.

i50=find(f1==50); % frequency index for 50 Hz

y=abs(s(i50,:))/(nfft/2);

figure; plot(t1,y,'-rx')

grid on; xlabel('Time (s)'); ylabel('Amplitude'); title('Amplitude at 50 Hz')

Now let us find the time period when the signal amplitude is abnormal, and let us find the mean amplitude during that time period. The normal voltage is 325 V (=230V rms x sqrt(2)). Any amplitude that deviates by more than 3 V from the normal value will be considered abnormal.

t_ab=t1(abs(y-325)>3); % time vector for abnormal amplitude

tabs=min(t_ab); tabe=max(t_ab); % start, end times for abnormal amplitude

a_ab=mean(y(abs(y-325)>3)); % mean amplitude during abnormal time period

fprintf('Ampltude is abnormal from t=%.2f to %.2f.\n',tabs,tabe)

fprintf('Mean abnormal amplitude=%.1f.\n',a_ab)

The calculated mean abnormal ampltude = 277.4 V, not 275 V, because the first and last abnormal values are halfway between 325 V (normal) and 275 V (abnormal).

##### 2 Comments

William Rose
on 20 Feb 2024

A Lumbini
on 21 Feb 2024

@William Rose Thank you for giving me this information

But, i am working on Wavelets So, i need to do it using wavelet transform

Alexander
on 20 Feb 2024

Very easy approach with "movmax":

clear;clf;

fs=1000; % sampling rate [Hz]

ts=1/fs; % sampling rate [Hz]

t=0:0.001:5; % time [s]

tlength = length(t);

fl=50; % frequency [Hz] to look for

tl=1/50; % period time s

nl=round(tl/ts);

a=(1:tlength)/100; % amplitude

y=a.*sin(2*pi*fl*t); % signal

subplot(211)

plot(t,y);grid minor;

yAmp = movmax(y,nl); % look for maxima

subplot(211)

plot(t,y);grid minor;

subplot(212)

plot(t,yAmp);grid minor;

I think it can be done much more elegant by performing a FFT at a single frequency, in this case "fl". But I have to think about it and if I get a solution I will come back later.

##### 3 Comments

Alexander
on 21 Feb 2024

A Lumbini
on 21 Feb 2024

Thank you, your inputs are really helpful

But,i want to do it using wavelets

Alexander
on 21 Feb 2024

Here is another approach as promissed above:

clear;clf;commandwindow;

fs=1000; % sampling rate [Hz]

ts=1/fs; % sampling rate [Hz]

t=0:ts:5-ts; % time 0-5 s

tlength = length(t);

fl=50; % frequency [Hz] to look for

tl=1/50; % period time s

N=round(tl/ts); % number of elements in period

a=ones(1,tlength)*4.5+rand(1,tlength); % amplitude 5 and +-0.5 random noise

y=a.*sin(2*pi*fl*t); % signal

yRes = reshape(y,N,[]); % Preparing the time slots

tN = (1:N)*ts;

Real = 2*fl/fs*sum(yRes.*sin(2*pi*fl*tN)');

Simag = 2*fl/fs*sum(yRes.*cos(2*pi*fl*tN)');

yARes = sqrt(Simag.^2+Real.^2); % vector of amplitudes

tRes = reshape(t,N,[]); % Preparing the time slots

tRes = mean(tRes); % t-axis according to the amplitudes in the middle of a time slot

plot(tRes,yARes);grid minor;

ylabel('Amplitude');xlabel('Time [sec]');

The advantage is, that the frequency fl is easy to adapt if used in (e.g.) order analysis of an engine runup.

Just an remainder: the equations Real and Simag are handmade (to be honest: I didn't found something appropriate in the net). Hence, check your results carefully.

##### 0 Comments

William Rose
on 21 Feb 2024

@A Lumbini, If you must use wavelets, do a continuous wavelet transform (cwt). THe Matlab documentation is good.

Make a 50 Hz signal, 3 seconds long, with an amplitude dip in the middle:

fs=1000; % sampling rate (Hz)

t=0:1/fs:3-1/fs; % time (s)

f=50; % frequency (Hz)

a1=325; a2=275; % amplitude (V)

x=a1*sin(2*pi*f*t); % signal

x(t>=1 & t<2)=a2*sin(2*pi*f*t(t>=1 & t<2));

Do the cwt:

[cfs,f] = cwt(x,fs);

Plot the cwt:

surf(t,f,abs(cfs),Edgecolor='none')

xlabel("Time (s)"); ylabel("Frequency (Hz)");

ylim([0 200]); grid on; colorbar

title('C.W.T. of x(t)')

The surface plot, above, shows the dip in 50 Hz amplitude, from t=1 to t=2.

Make a 2D plot of amplitude versus time, for the 50 Hz component of the CWT:

[~,i50]=min(abs(f-50)); % frequency index closest to 50 Hz

y=abs(cfs(i50,:));

figure; plot(t,y,'-rx')

grid on; xlabel('Time (s)'); ylabel('Amplitude'); title('Amplitude at 50 Hz')

The plot above shows the ampltude of the 50 Hz component versus time. It shows the dip in amplitude from t=1 to t=2.

### See Also

### Categories

### Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!