I have a frequency response diagram(frequency vs head) of discrete

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Discussion Overview

The discussion revolves around performing Fourier analysis on a frequency response diagram that presents discrete values. Participants explore methods to analyze the data, particularly focusing on whether the data is already in the frequency domain and how to proceed with transformations or software tools.

Discussion Character

  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant seeks guidance on performing Fourier analysis on discrete values from a frequency response diagram, questioning whether to use FFT or other methods.
  • Another participant suggests using Xmgrace or Origin software for analysis, emphasizing that writing custom code could be efficient but time-consuming.
  • A participant clarifies that the Fourier transform is meant to convert data from time domain to frequency domain and vice versa, suggesting that if the data is already in frequency domain, no transformation is needed.
  • There is a suggestion that the discussion may involve convolution, although this is not confirmed.
  • One participant expresses confusion about the nature of the data, questioning whether it is indeed in the frequency domain, while others assert that it is.
  • A participant references a journal paper that explains the process and offers to share it for further clarification.
  • Another participant requests specific citation details for the journal paper to access it directly.
  • There is a disagreement regarding the interpretation of figures in the referenced paper, with some asserting that figure 2 is in the frequency domain while others believe it represents time domain data.
  • One participant insists that figure 2 is indeed in the frequency domain, while another doubts this interpretation.

Areas of Agreement / Disagreement

Participants do not reach consensus on whether the data is in the frequency domain or time domain, leading to ongoing debate and confusion regarding the appropriate analysis methods.

Contextual Notes

There are unresolved questions about the definitions of frequency and time domains as applied to the figures in the referenced paper, as well as the assumptions underlying the Fourier analysis methods discussed.

narendra_p
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I have a frequency response diagram(frequency vs head) of discrete values. I have to perform Fourier analysis on these discrete values. The resultant frequency and head should be in FREQUENCY DOMAIN. how I can do this... by using FFT or any other ... using Nyquist frequency... please tell me.. send me any link if available.
 
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May be you can try with Xmgrace (free software)..or do you have some software ?
 


no.. i don't have software... i m searching on net but i get FFT and IFFT... means if i apply on frequency domain... result in time domain.. and vice versa. but I need result in frequency domain...
 


What you are saying doesn't make sense. The Fourier transform will always take you from time domain to frequency domain, and the inverse Fourier transform will always take you back from frequency domain to time domain. If you have the data in the frequency domain and you want the results in the frequency domain then there is no need to do a Fourier transform - the decomposition into Fourier components has already been done.
 


In Fourier analysis, normally one makes the transformation from time domain to frequency domain, or vice verse. I think your data is already in frequency domain ? (you mentioned frequency response diagram). So try xmgrace (free) or at least origin (not free but demo version is available) should have that option. Writing your own codes is really efficient but time consuming.
Good luck

Edit:phyzguy already pointed out.
 


Or may be are you talking about convolution stuff ?
 


no.. can u give me ur email Id. I will send u a journal paper where on page no.4, this is explained. It will be more convenient...
FRD is frequency response diagram. they select frequencies corresponding to peak values of FRD. then they apply Fourier transform. results are shown in diagram 3 and 4.
 


Just give the doi of that paper. Atleast the journal and author name with volume, number page number and year.
I will try to read it i have access.
 


If u can open directly then.. this is link.. http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JHEND8000134000005000658000001&idtype=cvips&gifs=yes Title: Discrete Blockage Detection in Pipelines Using
the Frequency Response Diagram: Numerical Study
Authors: Pedro J. Lee1; John P. Vítkovský2; Martin F. Lambert3; Angus R. Simpson4; and James A. Liggett5...
Journal of Hydraulic Engineering,
Vol. 134, No. 5, May 1, 2008. ©ASCE, ISSN 0733-9429/2008/5-
658–663 ....

see on page no. 4 .
 
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  • #10


Hello,
I don't know more about frequency response diagram. But for me it seems that figure 2 is in time domain. I guess that the authors just transformed the time domain (fig. 2) into frequency domain (figs. 3 and 4) with some special methods given on 661 (itemized from 1 to 5). Moreover in table 1, they have chosen three 'Blockage position' arbitrarily (three places in fig. 1) using formula 2.
May be some civil engg. can help you.
 
  • #11


Thanks... but fig. 2 is in frequency domain.they pick all peak values of this type diagrams and they invert them.. then they apply Fourier transform... resultant diagram 3 and 4 is in frequency domain.
 
  • #12


This is my doubt. It doent make anything t convert freq. into freq. ! Figs. 3 and 4 are freq. domain. I doubt Fig. 2. It looks like a time domain one.
 
  • #13


no.. i m sure.. its in frequency domain(frequency vs head)... in time domain, i have different diagram(time vs head), not mentioned in this paper.
 

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