Technical Report: About FFT Analyzers 7
4. How to read the FFT analyzer screen
4.4 Y-axis values
Next, let's consider the Y-axis values displayed by the FFT analyzer. If we denote the k-th spectrum obtained by FFT from the sample value sequence x(n) as ak and bk, then:
(1) Fourier spectrum
(2) Power spectrum
1. Spectrum in single-amplitude display
2. Spectrum showing the full amplitude
3. Spectrum in RMS (Range Value) Display
4. Single-amplitude spectrum in logarithmic display
5. Logarithmic total amplitude spectrum
6. Logarithmic RMS Spectrum
(3) Phase spectrum
(4) Differential and integral calculus
If acceleration is α, velocity is v, displacement is x, and frequency is f, then acceleration, velocity, and displacement are related by differential and integral calculus.
The ±j and - signs indicate phase differences of ±90° and -180°, respectively.
(5) Overalls
On the next page, we will explain in detail the Y-axis values (1) to (5) mentioned above, while showing the waveform displayed by the FFT analyzer.
There are three ways to express the amplitude of a sine wave: total amplitude, partial amplitude, and RMS value.
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<Data 7>
Data 7 above shows the time-domain waveform of a cosine wave. The width between the positive and negative peaks of the amplitude is called the total amplitude value, and half of the total amplitude value is called the single-amplitude value. Furthermore, the RMS value is defined as "the magnitude of the AC expressed as the DC value at which the power consumed by the same resistance is the same," and is therefore equal to the square root of the average value obtained by averaging the square of the instantaneous AC value over one period. That is, if the instantaneous AC value is x(t), then its RMS value is:
As calculated using the above formula, when the AC signal is a sine wave, its RMS value is 1/√2 of the single-amplitude value.
The next data, data 8, shows the spectrum obtained by performing an FFT on the time-domain waveform of data 7, with the RMS value displayed in the second row. From this data, we can see that the input signal is 1 Hz, 1.004 Vrms (RMS value).
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<Data 8>
The third row of Data 8 shows the same waveform represented by its single-amplitude value. Note that the single-amplitude value can also be calculated manually as follows.
The fourth stage represents the total amplitude value, which can be calculated in the same way.
The fifth row shows the RMS value in logarithmic form, and according to the formula shown earlier, dB Vrms is:
The sixth row shows the single-amplitude values in logarithmic scale, and the dBV is:
Data 9 is used to illustrate the integration of the spectrum. The first stage shows the input signal, and the second stage shows the spectrum in RMS value. (From the spectrum, we can see that the input signal has f = 1 Hz and Vr = 6.924 V.)
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<Data 9>
The third stage shows the single integral spectrum. Using the formula shown earlier, it is obtained by multiplying the second stage spectrum by 1/jω. The fourth stage shows the double integral spectrum. Since 1/j represents a phase lag of -90°, the integral values (magnitudes) can be calculated as follows, ignoring the phase.
When the input signal is acceleration α (m/ s²), the velocity and displacement are obtained by the single and double integrals of the acceleration, respectively. Therefore, by considering the sensitivity of Accelerometer and the voltage per 1 m/ s², and converting the voltage back to acceleration, the velocity and displacement for each frequency can be determined from the above formula.
Data 10 shows the differential results of the spectrum.
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<Data 10>
The first stage shows the input signal, and the second stage shows the spectrum in RMS value. From this spectrum, we can see that the input signal is 1 Hz and 100.467 V. The third and fourth stages of the data are the spectra obtained by differentiating the second stage spectrum once and twice, respectively, from the calculus formula in section (4) above, multiplied by jω and (jω) ². Since j represents a phase lead of +90°, it can be calculated from the following formula when considering the spectrum (magnitude).
Conversely to integration, if the input signal is displacement, you can find velocity and acceleration by differentiating it.
Data 11 explains the concept of overall (O.A.).
The overall power is the combined power of the entire frequency spectrum and equals the time-domain power (mean squared). Please remember that this power is calculated based on the number of sample points (e.g., 2048 points).
The overalls are calculated as follows:
(1) When the Y-axis is not logarithmic (see Data 11-1)
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<Data 11-1> -
The peak points of each spectrum are listed in the lower section of Data 11-1. If we assume that all values other than these peaks are zero and that Hf = 1, the approximate overall value can be calculated as follows.
The overall value is displayed in the upper right corner of the data.
(2) When the Y-axis is logarithmic (see Data 11-2)
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<Data 11-2>
(1) as in the same case;
You can search for overalls as such.
Data 11-2 is the same as Data 11-1 but expressed in dB. The overall values calculated with Hf = 1 are as follows:
The overall indicator corresponds to the RMS value, such as the meter reading of a vibration meter or the reading of a sound level meter.
How did you find this explanation? We primarily explained the relationship between the time axis and the Fourier-transformed X and Y axes, as well as how to interpret the values, using waveforms displayed on an FFT analyzer as examples. Please feel free to contact us if you have any questions. The analyzer used for data acquisition was the CF-5220 multi-purpose FFT analyzer. Next time, we will discuss the important input processing involved in acquiring signals with an FFT analyzer. Our discussion on "FFT analyzers" will continue for a little while longer...
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