Principal frequencies of a Waveform

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The discussion centers on identifying principal frequencies in a current waveform, with three frequencies identified at 52Hz, 246Hz, and 351Hz. Participants clarify that the principal frequency refers to the largest peak, which is 52Hz, while the others are distortion frequencies. The conversation also delves into calculating total harmonic distortion (THD), emphasizing the need to use the correct formula involving the sum of squares of the harmonics. There is confusion about the application of the THD formula and the interpretation of spectral data, with participants correcting each other's calculations. Ultimately, the thread highlights the complexity of waveform analysis and the importance of accurate data interpretation in electrical engineering.
  • #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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