Principal frequencies of a Waveform

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SUMMARY

The discussion centers on identifying principal frequencies in a waveform and calculating Total Harmonic Distortion (THD) using Excel data. The identified principal frequencies are 52Hz, 246Hz, and 351Hz, with the largest peak at 52Hz. Participants clarify that the principal frequency is the fundamental frequency, while distortion frequencies are the higher harmonics. The correct approach for calculating THD involves using the sum of squares of the harmonic currents, not the square of the sum.

PREREQUISITES
  • Understanding of Fourier Transform and its application in waveform analysis.
  • Familiarity with Total Harmonic Distortion (THD) calculations.
  • Proficiency in using Excel for data analysis and graphing.
  • Knowledge of electrical engineering concepts, particularly related to waveforms and harmonics.
NEXT STEPS
  • Learn how to perform FFT (Fast Fourier Transform) in Excel for waveform analysis.
  • Study the mathematical derivation of Total Harmonic Distortion (THD) formulas.
  • Explore methods for reconstructing waveforms from harmonic frequencies using Fourier synthesis.
  • Investigate the implications of sampling frequency on waveform analysis and harmonic detection.
USEFUL FOR

Electrical engineers, signal processing specialists, and students studying waveform analysis and harmonic distortion in electrical systems will benefit from this discussion.

  • #61
Using 16 = 96.89%
Using 15.878 = 97.26%

Both obviously equate to 97% but Just wondering if there was something I'd missed about needing to round up a fundamental or something
 
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  • #62
Grappled with this for a few days and I'm happy I've got the answer. It's done using 15.878.

For part iv) I changed the 3 magnitudes to rms values ((square root of magnitude)x0.707). I then used the formula:

Amplitude(rms)*sin(2pi x f x t)

in 3 separate columns in excel (for each frequency and it's associated rms magnitude) and just dragged the formulas down to complete the 1024 entries. I then summed all of the 3 entries, created another column for time(s) and then inserted a scatter graph to synthesis the original waveform. Only did it over a short time period though as the graph wouldn't accept all 1024 entries.

(To get the formula to drag down I had to lock some of the fields when writing the formula with the $ sign) e.g. $b$2*sin(2pi*$a$3*a8)).
 
  • #63
HDG said:
Grappled with this for a few days and I'm happy I've got the answer. It's done using 15.878.

For part iv) I changed the 3 magnitudes to rms values ((square root of magnitude)x0.707). I then used the formula:

Amplitude(rms)*sin(2pi x f x t)

in 3 separate columns in excel (for each frequency and it's associated rms magnitude) and just dragged the formulas down to complete the 1024 entries. I then summed all of the 3 entries, created another column for time(s) and then inserted a scatter graph to synthesis the original waveform. Only did it over a short time period though as the graph wouldn't accept all 1024 entries.

(To get the formula to drag down I had to lock some of the fields when writing the formula with the $ sign) e.g. $b$2*sin(2pi*$a$3*a8)).

Hi HDG,

Did you get the question correct? I got a final answer also of 97.271%

1580146183486.png


How did you select the fields to create the scattergraph?

Thanks for any help!
 

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